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Editors: Ruslan Salakhutdinov, Zico Kolter, Katherine Heller, Adrian Weller, Nuria Oliver, Jonathan Scarlett, Felix Berkenkamp
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Revisiting Character-level Adversarial Attacks for Language Models
; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1-30
Adaptively Perturbed Mirror Descent for Learning in Games
Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Atsushi Iwasaki; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31-80
InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
Reyna Abhyankar, Zijian He, Vikranth Srivatsa, Hao Zhang, Yiying Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:81-95
Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection
Abhinab Acharya, Dayou Yu, Qi Yu, Xumin Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:96-116
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
Idan Achituve, Idit Diamant, Arnon Netzer, Gal Chechik, Ethan Fetaya; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:117-134
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Aakriti Jain, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:135-168
A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples
Ben Adcock, Juan M. Cardenas, Nick Dexter; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:169-202
FrameQuant: Flexible Low-Bit Quantization for Transformers
Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang, Vikas Singh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:203-227
BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images
Sandesh Adhikary, Anqi Li, Byron Boots; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:228-245
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
Dyah Adila, Shuai Zhang, Boran Han, Bernie Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:246-261
Optimal Coresets for Low-Dimensional Geometric Median
Peyman Afshani, Chris Schwiegelshohn; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:262-270
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
Arshia Afzal, Grigorios Chrysos, Volkan Cevher, Mahsa Shoaran; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:271-290
CHAI: Clustered Head Attention for Efficient LLM Inference
Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:291-312
Learning to Play Atari in a World of Tokens
Pranav Agarwal, Sheldon Andrews, Samira Ebrahimi Kahou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:313-328
Probabilistic Generating Circuits - Demystified
Sanyam Agarwal, Markus Bläser; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:329-342
Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements
Naman Agarwal, Satyen Kale, Karan Singh, Abhradeep Guha Thakurta; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:343-361
The Non-linear $F$-Design and Applications to Interactive Learning
Alekh Agarwal, Jian Qian, Alexander Rakhlin, Tong Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:362-396
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints
Akhil Agnihotri, Rahul Jain, Haipeng Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:397-415
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
Shashank Agnihotri, Steffen Jung, Margret Keuper; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:416-451
LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions
Victor Agostinelli Iii, Sanghyun Hong, Lizhong Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:452-470
Policy Evaluation for Variance in Average Reward Reinforcement Learning
Shubhada Agrawal, Prashanth L A, Siva Theja Maguluri; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:471-502
Distinguishing the Knowable from the Unknowable with Language Models
Gustaf Ahdritz, Tian Qin, Nikhil Vyas, Boaz Barak, Benjamin L. Edelman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:503-549
Unmasking Vulnerabilities: Cardinality Sketches under Adaptive Inputs
Sara Ahmadian, Edith Cohen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:550-576
OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models
Ali Ahmaditeshnizi, Wenzhi Gao, Madeleine Udell; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:577-596
How to Escape Sharp Minima with Random Perturbations
Kwangjun Ahn, Ali Jadbabaie, Suvrit Sra; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:597-618
Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise
Kwangjun Ahn, Zhiyu Zhang, Yunbum Kook, Yan Dai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:619-640
Not all distributional shifts are equal: Fine-grained robust conformal inference
Jiahao Ai, Zhimei Ren; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:641-665
Triple Changes Estimator for Targeted Policies
Sina Akbari, Negar Kiyavash; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:666-695
Improving Computational Complexity in Statistical Models with Local Curvature Information
Pedram Akbarian, Tongzheng Ren, Jiacheng Zhuo, Sujay Sanghavi, Nhat Ho; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:696-719
Learning Mixtures of Gaussian Processes through Random Projection
Emmanuel Akeweje, Mimi Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:720-739
Encodings for Prediction-based Neural Architecture Search
Yash Akhauri, Mohamed S Abdelfattah; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:740-759
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Tara Akhound-Sadegh, Jarrid Rector-Brooks, Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:760-786
In-Context Language Learning: Architectures and Algorithms
Ekin Akyürek, Bailin Wang, Yoon Kim, Jacob Andreas; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:787-812
Nonlinear Filtering with Brenier Optimal Transport Maps
Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini, Amirhossein Taghvaei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:813-839
Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity
Ahmet Alacaoglu, Donghwan Kim, Stephen Wright; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:840-878
Gaussian Processes on Cellular Complexes
Mathieu Alain, So Takao, Brooks Paige, Marc Peter Deisenroth; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:879-905
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
Parand A. Alamdari, Toryn Q. Klassen, Elliot Creager, Sheila A. Mcilraith; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:906-920
Stochastic Interpolants with Data-Dependent Couplings
Michael Samuel Albergo, Mark Goldstein, Nicholas Matthew Boffi, Rajesh Ranganath, Eric Vanden-Eijnden; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:921-937
Evaluating Model Bias Requires Characterizing its Mistakes
Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, Ali Taylan Cemgil, Sven Gowal, Olivia Wiles; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:938-954
Energy-Efficient Gaussian Processes Using Low-Precision Arithmetic
Nicolas Alder, Ralf Herbrich; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:955-975
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Yaser Alhuwaider, Merey Ramazanova, Juan Camilo Perez, Zhipeng Cai, Matthias Müller, Bernard Ghanem; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:976-991
On the Weight Dynamics of Deep Normalized Networks
Christian H.X. Ali Mehmeti-Göpel, Michael Wand; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:992-1007
No Dimensional Sampling Coresets for Classification
Meysam Alishahi, Jeff M. Phillips; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1008-1049
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness
Miltiadis Allamanis, Sheena Panthaplackel, Pengcheng Yin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1050-1066
Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
Zeyuan Allen-Zhu, Yuanzhi Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1067-1077
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1078-1114
The Privacy Power of Correlated Noise in Decentralized Learning
Youssef Allouah, Anastasia Koloskova, Aymane El Firdoussi, Martin Jaggi, Rachid Guerraoui; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1115-1143
Predicting Dose-Response Curves with Deep Neural Networks
Pedro Alonso Campana, Paul Prasse, Tobias Scheffer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1144-1154
Robust and Conjugate Gaussian Process Regression
Matias Altamirano, Francois-Xavier Briol, Jeremias Knoblauch; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1155-1185
Beyond the Norms: Detecting Prediction Errors in Regression Models
Andres Altieri, Marco Romanelli, Georg Pichler, Florence Alberge, Pablo Piantanida; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1186-1221
Position: Stop Making Unscientific AGI Performance Claims
Patrick Altmeyer, Andrew M. Demetriou, Antony Bartlett, Cynthia C. S. Liem; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1222-1242
Hyperbolic Optimizer as a Dynamical System
Nico Alvarado, Hans Lobel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1243-1260
Stationarity without mean reversion in improper Gaussian processes
Luca Ambrogioni; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1261-1275
Robust Graph Matching when Nodes are Corrupt
Taha Ameen, Bruce Hajek; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1276-1305
Fast Algorithms for Hypergraph PageRank with Applications to Semi-Supervised Learning
Konstantinos Ameranis, Adela Frances Depavia, Lorenzo Orecchia, Erasmo Tani; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1306-1330
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency
Alan Nawzad Amin, Andrew Gordon Wilson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1331-1358
Generalization Error of Graph Neural Networks in the Mean-field Regime
Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1359-1391
Scalable Online Exploration via Coverability
Philip Amortila, Dylan J Foster, Akshay Krishnamurthy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1392-1455
WAVES: Benchmarking the Robustness of Image Watermarks
Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1456-1492
Training-Free Long-Context Scaling of Large Language Models
Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1493-1510
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
Sotiris Anagnostidis, Gregor Bachmann, Imanol Schlag, Thomas Hofmann; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1511-1530
Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1531-1556
Adaptive Observation Cost Control for Variational Quantum Eigensolvers
Christopher J. Anders, Kim Andrea Nicoli, Bingting Wu, Naima Elosegui, Samuele Pedrielli, Lena Funcke, Karl Jansen, Stefan Kühn, Shinichi Nakajima; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1557-1578
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching
Rico Angell, Andrew Mccallum; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1579-1615
Online conformal prediction with decaying step sizes
Anastasios Nikolas Angelopoulos, Rina Barber, Stephen Bates; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1616-1630
A Rate-Distortion View of Uncertainty Quantification
Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen, Artur Dubrawski; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1631-1654
Practical Performance Guarantees for Pipelined DNN Inference
Aaron Archer, Matthew Fahrbach, Kuikui Liu, Prakash Prabhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1655-1671
Unsupervised Concept Discovery Mitigates Spurious Correlations
Md Rifat Arefin, Yan Zhang, Aristide Baratin, Francesco Locatello, Irina Rish, Dianbo Liu, Kenji Kawaguchi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1672-1688
Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving
Sohei Arisaka, Qianxiao Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1689-1708
Causal Action Influence Aware Counterfactual Data Augmentation
Núria Armengol Urpı́, Marco Bagatella, Marin Vlastelica, Georg Martius; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1709-1729
Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs
Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1730-1762
Simple linear attention language models balance the recall-throughput tradeoff
Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, James Zou, Atri Rudra, Christopher Re; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1763-1840
Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing
Gabriel Arpino, Xiaoqi Liu, Ramji Venkataramanan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1841-1864
An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation
Jonas Arruda, Yannik Schälte, Clemens Peiter, Olga Teplytska, Ulrich Jaehde, Jan Hasenauer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1865-1901
Learning the Target Network in Function Space
Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1902-1923
Translation Equivariant Transformer Neural Processes
Matthew Ashman, Cristiana Diaconu, Junhyuck Kim, Lakee Sivaraya, Stratis Markou, James Requeima, Wessel P Bruinsma, Richard E. Turner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1924-1944
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy Nguyen, Kunal Talwar, Samson Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1945-1970
Bifurcated Attention for Single-Context Large-Batch Sampling
Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1971-1991
Delaunay Graph: Addressing Over-Squashing and Over-Smoothing Using Delaunay Triangulation
Hugo Attali, Davide Buscaldi, Nathalie Pernelle; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:1992-2008
How Free is Parameter-Free Stochastic Optimization?
Amit Attia, Tomer Koren; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2009-2034
Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing
Idan Attias, Gintare Karolina Dziugaite, Mahdi Haghifam, Roi Livni, Daniel M. Roy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2035-2068
Agnostic Sample Compression Schemes for Regression
Idan Attias, Steve Hanneke, Aryeh Kontorovich, Menachem Sadigurschi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2069-2085
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond
Kyriakos Axiotis, Vincent Cohen-Addad, Monika Henzinger, Sammy Jerome, Vahab Mirrokni, David Saulpic, David Woodruff, Michael Wunder; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2086-2107
Random features models: a way to study the success of naive imputation
Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2108-2134
Switching the Loss Reduces the Cost in Batch Reinforcement Learning
Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James Mcinerney, Dawen Liang, Nathan Kallus, Csaba Szepesvari; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2135-2158
Bipartite Matching in Massive Graphs: A Tight Analysis of EDCS
Amir Azarmehr, Soheil Behnezhad, Mohammad Roghani; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2159-2167
What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis
Waı̈ss Azizian, Franck Iutzeler, Jerome Malick, Panayotis Mertikopoulos; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2168-2229
HyperFields: Towards Zero-Shot Generation of NeRFs from Text
Sudarshan Babu, Richard Liu, Avery Zhou, Michael Maire, Greg Shakhnarovich, Rana Hanocka; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2230-2247
Online Matrix Completion: A Collaborative Approach with Hott Items
Dheeraj Baby, Soumyabrata Pal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2248-2276
Differentiable Weightless Neural Networks
Alan Tendler Leibel Bacellar, Zachary Susskind, Mauricio Breternitz Jr, Eugene John, Lizy Kurian John, Priscila Machado Vieira Lima, Felipe M.G. França; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2277-2295
The Pitfalls of Next-Token Prediction
Gregor Bachmann, Vaishnavh Nagarajan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2296-2318
Simulation of Graph Algorithms with Looped Transformers
Artur Back De Luca, Kimon Fountoulakis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2319-2363
QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin Hancock; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2364-2374
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance
Mingyuan Bai, Wei Huang, Tenghui Li, Andong Wang, Junbin Gao, Cesar F Caiafa, Qibin Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2375-2391
On the Complexity of Finite-Sum Smooth Optimization under the Polyak–Łojasiewicz Condition
Yunyan Bai, Yuxing Liu, Luo Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2392-2417
Constrained Ensemble Exploration for Unsupervised Skill Discovery
Chenjia Bai, Rushuai Yang, Qiaosheng Zhang, Kang Xu, Yi Chen, Ting Xiao, Xuelong Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2418-2442
Image Hijacks: Adversarial Images can Control Generative Models at Runtime
Luke Bailey, Euan Ong, Stuart Russell, Scott Emmons; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2443-2455
An Explicit Frame Construction for Normalizing 3D Point Clouds
Justin Baker, Shih-Hsin Wang, Tommaso De Fernex, Bao Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2456-2473
Disentanglement Learning via Topology
Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2474-2504
Adversarial Attacks on Combinatorial Multi-Armed Bandits
Rishab Balasubramanian, Jiawei Li, Prasad Tadepalli, Huazheng Wang, Qingyun Wu, Haoyu Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2505-2526
Memory Consolidation Enables Long-Context Video Understanding
Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J Henaff; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2527-2542
Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation
Randall Balestriero, Romain Cosentino, Sarath Shekkizhar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2543-2565
How Learning by Reconstruction Produces Uninformative Features For Perception
Randall Balestriero, Yann Lecun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2566-2585
Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better
Vicente Balmaseda, Ying Xu, Yixin Cao, Nate Veldt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2586-2606
A Field Guide for Pacing Budget and ROS Constraints
Santiago R. Balseiro, Kshipra Bhawalkar, Zhe Feng, Haihao Lu, Vahab Mirrokni, Balasubramanian Sivan, Di Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2607-2638
On the Identifiability of Switching Dynamical Systems
Carles Balsells-Rodas, Yixin Wang, Yingzhen Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2639-2672
Analyzing $D^α$ seeding for $k$-means
Etienne Bamas, Sai Ganesh Nagarajan, Ola Svensson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2673-2699
Parsimonious Learning-Augmented Approximations for Dense Instances of $\mathcalNP$-hard Problems
Evripidis Bampis, Bruno Escoffier, Michalis Xefteris; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2700-2714
Fair Resource Allocation in Multi-Task Learning
Hao Ban, Kaiyi Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2715-2731
Linguistic Calibration of Long-Form Generations
Neil Band, Xuechen Li, Tengyu Ma, Tatsunori Hashimoto; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2732-2778
Relational DNN Verification With Cross Executional Bound Refinement
Debangshu Banerjee, Gagandeep Singh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2779-2807
A Dynamic Algorithm for Weighted Submodular Cover Problem
Kiarash Banihashem, Samira Goudarzi, Mohammadtaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2808-2830
Dynamic Metric Embedding into lp Space
Kiarash Banihashem, Mohammadtaghi Hajiaghayi, Dariusz Rafal Kowalski, Jan Olkowski, Max Springer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2831-2845
VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees
Anahita Baninajjar, Ahmed Rezine, Amir Aminifar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2846-2856
Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective
Yajie Bao, Michael Crawshaw, Mingrui Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2857-2902
Self-attention Networks Localize When QK-eigenspectrum Concentrates
Han Bao, Ryuichiro Hataya, Ryo Karakida; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2903-2922
Graph Out-of-Distribution Detection Goes Neighborhood Shaping
Tianyi Bao, Qitian Wu, Zetian Jiang, Yiting Chen, Jiawei Sun, Junchi Yan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2923-2943
Stochastic positional embeddings improve masked image modeling
Amir Bar, Florian Bordes, Assaf Shocher, Mido Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann Lecun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2944-2958
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2959-2989
Scale-Free Image Keypoints Using Differentiable Persistent Homology
Giovanni Barbarani, Francesco Vaccarino, Gabriele Trivigno, Marco Guerra, Gabriele Berton, Carlo Masone; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:2990-3002
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
George-Octavian Bărbulescu, Peter Triantafillou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3003-3023
Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks
Lorenzo Bardone, Sebastian Goldt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3024-3045
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
Brian R. Bartoldson, James Diffenderfer, Konstantinos Parasyris, Bhavya Kailkhura; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3046-3072
Neural Diffusion Models
Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3073-3095
Generalization in Kernel Regression Under Realistic Assumptions
Daniel Barzilai, Ohad Shamir; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3096-3132
Local vs. Global Interpretability: A Computational Complexity Perspective
Shahaf Bassan, Guy Amir, Guy Katz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3133-3167
Differentially Private Domain Adaptation with Theoretical Guarantees
Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3168-3196
A Statistical Framework for Data-dependent Retrieval-Augmented Models
Soumya Basu, Ankit Singh Rawat, Manzil Zaheer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3197-3223
On Mechanistic Knowledge Localization in Text-to-Image Generative Models
Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Vlad I Morariu, Nanxuan Zhao, Ryan A. Rossi, Varun Manjunatha, Soheil Feizi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3224-3265
Monotone Individual Fairness
Yahav Bechavod; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3266-3283
Graph Neural Networks Use Graphs When They Shouldn’t
Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3284-3304
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
Jonas Beck, Nathanael Bosch, Michael Deistler, Kyra L. Kadhim, Jakob H. Macke, Philipp Hennig, Philipp Berens; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3305-3326
Standardized Interpretable Fairness Measures for Continuous Risk Scores
Ann-Kristin Becker, Oana Dumitrasc, Klaus Broelemann; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3327-3346
Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity
Ali Behrouz, Parsa Delavari, Farnoosh Hashemi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3347-3381
Neural Networks Learn Statistics of Increasing Complexity
Nora Belrose, Quintin Pope, Lucia Quirke, Alex Troy Mallen, Xiaoli Fern; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3382-3409
Accelerating Federated Learning with Quick Distributed Mean Estimation
Ran Ben-Basat, Shay Vargaftik, Amit Portnoy, Gil Einziger, Yaniv Ben-Itzhak, Michael Mitzenmacher; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3410-3442
The Role of Learning Algorithms in Collective Action
Omri Ben-Dov, Jake Fawkes, Samira Samadi, Amartya Sanyal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3443-3461
D-Flow: Differentiating through Flows for Controlled Generation
Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3462-3483
Transitional Uncertainty with Layered Intermediate Predictions
Ryan Benkert, Mohit Prabhushankar, Ghassan Alregib; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3484-3505
Non-clairvoyant Scheduling with Partial Predictions
Ziyad Benomar, Vianney Perchet; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3506-3538
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
Nimrod Berman, Ilan Naiman, Idan Arbiv, Gal Fadlon, Omri Azencot; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3539-3564
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
Jules Berman, Benjamin Peherstorfer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3565-3583
By Tying Embeddings You Are Assuming the Distributional Hypothesis
Francesco Bertolotti, Walter Cazzola; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3584-3610
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
Matteo Bettini, Ryan Kortvelesy, Amanda Prorok; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3611-3636
Refining Minimax Regret for Unsupervised Environment Design
Michael Beukman, Samuel Coward, Michael Matthews, Mattie Fellows, Minqi Jiang, Michael D Dennis, Jakob Nicolaus Foerster; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3637-3657
Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
Luca Beurer-Kellner, Marc Fischer, Martin Vechev; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3658-3673
Prompt Sketching for Large Language Models
Luca Beurer-Kellner, Mark Niklas Mueller, Marc Fischer, Martin Vechev; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3674-3706
Counterfactual Metarules for Local and Global Recourse
Tom Bewley, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, Manuela Veloso; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3707-3724
Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
Aleksandr Beznosikov, David Dobre, Gauthier Gidel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3725-3750
Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation
Homanga Bharadhwaj; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3751-3762
Dynamic Facility Location in High Dimensional Euclidean Spaces
Sayan Bhattacharya, Gramoz Goranci, Shaofeng H.-C. Jiang, Yi Qian, Yubo Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3763-3775
Total Variation Distance Meets Probabilistic Inference
Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3776-3794
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel Majidi, Abhinav Gupta, Tess Hellebrekers, Lerrel Pinto; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3795-3816
Why do Variational Autoencoders Really Promote Disentanglement?
Pratik Bhowal, Achint Soni, Sirisha Rambhatla; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3817-3849
Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization
Neelkamal Bhuyan, Debankur Mukherjee, Adam Wierman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3850-3888
Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning
Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3889-3912
Naive Bayes Classifiers over Missing Data: Decision and Poisoning
Song Bian, Xiating Ouyang, Zhiwei Fan, Paraschos Koutris; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3913-3934
How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
Federico Bianchi, Patrick John Chia, Mert Yuksekgonul, Jacopo Tagliabue, Dan Jurafsky, James Zou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3935-3951
Scalable Safe Policy Improvement for Factored Multi-Agent MDPs
Federico Bianchi, Edoardo Zorzi, Alberto Castellini, Thiago D. Simão, Matthijs T. J. Spaan, Alessandro Farinelli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3952-3973
Improving fine-grained understanding in image-text pre-training
Ioana Bica, Anastasija Ilic, Matthias Bauer, Goker Erdogan, Matko Bošnjak, Christos Kaplanis, Alexey A. Gritsenko, Matthias Minderer, Charles Blundell, Razvan Pascanu, Jovana Mitrovic; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3974-3995
Position: Explain to Question not to Justify
Przemyslaw Biecek, Wojciech Samek; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:3996-4006
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
Massimo Bini, Karsten Roth, Zeynep Akata, Anna Khoreva; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4007-4026
Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach
Darya Biparva, Donatello Materassi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4027-4045
Graph2Tac: Online Representation Learning of Formal Math Concepts
Lasse Blaauwbroek, Mirek Olšák, Jason Rute, Fidel Ivan Schaposnik Massolo, Jelle Piepenbrock, Vasily Pestun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4046-4076
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering
Mitchell Black, Lucy Lin, Weng-Keen Wong, Amir Nayyeri; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4077-4102
Comparing Graph Transformers via Positional Encodings
Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4103-4139
Stability Evaluation through Distributional Perturbation Analysis
Jose Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4140-4159
Dynamic Survival Analysis with Controlled Latent States
Linus Bleistein, Van Tuan Nguyen, Adeline Fermanian, Agathe Guilloux; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4160-4204
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling
Denis Blessing, Xiaogang Jia, Johannes Esslinger, Francisco Vargas, Gerhard Neumann; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4205-4229
Shifted Interpolation for Differential Privacy
Jinho Bok, Weijie J Su, Jason Altschuler; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4230-4266
How Spurious Features are Memorized: Precise Analysis for Random and NTK Features
Simone Bombari, Marco Mondelli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4267-4299
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
Simone Bombari, Marco Mondelli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4300-4328
Position: Machine Learning-powered Assessments of the EU Digital Services Act Aid Quantify Policy Impacts on Online Harms
Eleonora Bonel, Luca Nannini, Davide Bassi, Michele Joshua Maggini; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4329-4344
A Dynamical Model of Neural Scaling Laws
Blake Bordelon, Alexander Atanasov, Cengiz Pehlevan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4345-4382
A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces
Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Alessandra Pascale, Jonathan P Epperlein; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4383-4402
Random matrix theory improved Fréchet mean of symmetric positive definite matrices
Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frederic Pascal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4403-4415
Improving Neural Additive Models with Bayesian Principles
Kouroche Bouchiat, Alexander Immer, Hugo Yèche, Gunnar Ratsch, Vincent Fortuin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4416-4443
S$Ω$I: Score-based O-INFORMATION Estimation
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4444-4471
On dimensionality of feature vectors in MPNNs
César Bravo, Alexander Kozachinskiy, Cristobal Rojas; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4472-4481
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
Manuel Brenner, Florian Hess, Georgia Koppe, Daniel Durstewitz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4482-4516
Fully-Dynamic Approximate Decision Trees With Worst-Case Update Time Guarantees
Marco Bressan, Mauro Sozio; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4517-4541
Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu’s formula
Kirill Brilliantov, Fedor Pavutnitskiy, Dmitry Pasechnyuk, German Magai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4542-4560
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation
Gavin R Brown, Krishnamurthy Dj Dvijotham, Georgina Evans, Daogao Liu, Adam Smith, Abhradeep Guha Thakurta; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4561-4584
Scalable AI Safety via Doubly-Efficient Debate
Jonah Brown-Cohen, Geoffrey Irving, Georgios Piliouras; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4585-4602
Genie: Generative Interactive Environments
Jake Bruce, Michael D Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Maria Elisabeth Bechtle, Feryal Behbahani, Stephanie C.Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando De Freitas, Satinder Singh, Tim Rocktäschel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4603-4623
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
Andrey Bryutkin, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4624-4641
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4642-4695
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4696-4729
Differentially Private Bias-Term Fine-tuning of Foundation Models
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4730-4751
Bayesian Optimization of Function Networks with Partial Evaluations
Poompol Buathong, Jiayue Wan, Raul Astudillo, Sam Daulton, Maximilian Balandat, Peter I. Frazier; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4752-4784
Robustness of Nonlinear Representation Learning
Simon Buchholz, Bernhard Schölkopf; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4785-4821
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
Ha Manh Bui, Anqi Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4822-4853
Explaining Graph Neural Networks via Structure-aware Interaction Index
Ngoc Bui, Hieu Trung Nguyen, Viet Anh Nguyen, Rex Ying; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4854-4883
Assessing Large Language Models on Climate Information
Jannis Bulian, Mike S. Schäfer, Afra Amini, Heidi Lam, Massimiliano Ciaramita, Ben Gaiarin, Michelle Chen Huebscher, Christian Buck, Niels G. Mede, Markus Leippold, Nadine Strauss; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4884-4935
Semantically-correlated memories in a dense associative model
Thomas F Burns; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4936-4970
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Leike, Ilya Sutskever, Jeffrey Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4971-5012
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Natasha Butt, Blazej Manczak, Auke Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5013-5034
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
Gon Buzaglo, Itamar Harel, Mor Shpigel Nacson, Alon Brutzkus, Nathan Srebro, Daniel Soudry; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5035-5081
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
Undral Byambadalai, Tatsushi Oka, Shota Yasui; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5082-5113
Learning Associative Memories with Gradient Descent
Vivien Cabannes, Berfin Simsek, Alberto Bietti; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5114-5134
Bridging Environments and Language with Rendering Functions and Vision-Language Models
Theo Cachet, Christopher R Dance, Olivier Sigaud; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5135-5188
Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions
Yongqiang Cai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5189-5208
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5209-5235
Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation
Lincan Cai, Shuang Li, Wenxuan Ma, Jingxuan Kang, Binhui Xie, Zixun Sun, Chengwei Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5236-5257
Batch and match: black-box variational inference with a score-based divergence
Diana Cai, Chirag Modi, Loucas Pillaud-Vivien, Charles Margossian, Robert M. Gower, David Blei, Lawrence K. Saul; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5258-5297
Flextron: Many-in-One Flexible Large Language Model
Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5298-5311
Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion
Yang Cai, Argyris Oikonomou, Weiqiang Zheng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5312-5347
LoCoCo: Dropping In Convolutions for Long Context Compression
Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5348-5359
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
Yi Cai, Gerhard Wunder; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5360-5382
Sample-specific Masks for Visual Reprogramming-based Prompting
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5383-5408
Human Alignment of Large Language Models through Online Preference Optimisation
Daniele Calandriello, Zhaohan Daniel Guo, Remi Munos, Mark Rowland, Yunhao Tang, Bernardo Avila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5409-5435
Partially Stochastic Infinitely Deep Bayesian Neural Networks
Sergio Calvo Ordoñez, Matthieu Meunier, Francesco Piatti, Yuantao Shi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5436-5452
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
Andrew Campbell, Jason Yim, Regina Barzilay, Tom Rainforth, Tommi Jaakkola; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5453-5512
Mimicking Better by Matching the Approximate Action Distribution
Joao Candido Ramos, Lionel Blondé, Naoya Takeishi, Alexandros Kalousis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5513-5532
Graph Positional and Structural Encoder
Semih Cantürk, Renming Liu, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampášek; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5533-5566
Successor Features for Efficient Multi-Subject Controlled Text Generation
Meng Cao, Mehdi Fatemi, Jackie Ck Cheung, Samira Shabanian; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5567-5583
Limited Preference Aided Imitation Learning from Imperfect Demonstrations
Xingchen Cao, Fan-Ming Luo, Junyin Ye, Tian Xu, Zhilong Zhang, Yang Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5584-5607
Predictive Dynamic Fusion
Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5608-5628
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5629-5659
Can a Few Decide for Many? The Metric Distortion of Sortition
Ioannis Caragiannis, Evi Micha, Jannik Peters; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5660-5679
Stealing part of a production language model
Nicholas Carlini, Daniel Paleka, Krishnamurthy Dj Dvijotham, Thomas Steinke, Jonathan Hayase, A. Feder Cooper, Katherine Lee, Matthew Jagielski, Milad Nasr, Arthur Conmy, Eric Wallace, David Rolnick, Florian Tramèr; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5680-5705
AI Alignment with Changing and Influenceable Reward Functions
Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca Dragan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5706-5756
Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback
Asaf Cassel, Haipeng Luo, Aviv Rosenberg, Dmitry Sotnikov; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5757-5791
Online Learning under Budget and ROI Constraints via Weak Adaptivity
Matteo Castiglioni, Andrea Celli, Christian Kroer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5792-5816
How Smooth Is Attention?
Valérie Castin, Pierre Ablin, Gabriel Peyré; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5817-5840
Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity
Marta Catalano, Hugo Lavenant; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5841-5861
On the Implicit Bias of Adam
Matias D. Cattaneo, Jason Matthew Klusowski, Boris Shigida; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5862-5906
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
Onur Celik, Aleksandar Taranovic, Gerhard Neumann; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5907-5933
Centralized Selection with Preferences in the Presence of Biases
L. Elisa Celis, Amit Kumar, Nisheeth K. Vishnoi, Andrew Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5934-5981
Using Left and Right Brains Together: Towards Vision and Language Planning
Jun Cen, Chenfei Wu, Xiao Liu, Shengming Yin, Yixuan Pei, Jinglong Yang, Qifeng Chen, Nan Duan, Jianguo Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:5982-6001
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6002-6019
Simple Ingredients for Offline Reinforcement Learning
Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric, Yann Ollivier, Ahmed Touati; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6020-6047
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
Sungmin Cha, Kyunghyun Cho, Taesup Moon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6048-6065
Auditing Private Prediction
Karan Chadha, Matthew Jagielski, Nicolas Papernot, Christopher A. Choquette-Choo, Milad Nasr; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6066-6092
Position: On the Possibilities of AI-Generated Text Detection
Souradip Chakraborty, Amrit Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6093-6115
MaxMin-RLHF: Alignment with Diverse Human Preferences
Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Dinesh Manocha, Furong Huang, Amrit Bedi, Mengdi Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6116-6135
Dense Reward for Free in Reinforcement Learning from Human Feedback
Alex James Chan, Hao Sun, Samuel Holt, Mihaela Van Der Schaar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6136-6154
Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation
Guiyang Chan, Pengcheng Zhang, Hai Dong, Shunhui Ji, Bainian Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6155-6169
Feature Importance Disparities for Data Bias Investigations
Peter W Chang, Leor Fishman, Seth Neel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6170-6201
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6202-6252
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
Chen-Chia Chang, Yikang Shen, Shaoze Fan, Jing Li, Shun Zhang, Ningyuan Cao, Yiran Chen, Xin Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6253-6262
MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
Di Chang, Yichun Shi, Quankai Gao, Hongyi Xu, Jessica Fu, Guoxian Song, Qing Yan, Yizhe Zhu, Xiao Yang, Mohammad Soleymani; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6263-6285
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
Trenton Chang, Jenna Wiens; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6286-6324
On the Role of Edge Dependency in Graph Generative Models
Sudhanshu Chanpuriya, Cameron N Musco, Konstantinos Sotiropoulos, Charalampos Tsourakakis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6325-6345
Performance Bounds for Active Binary Testing with Information Maximization
Aditya Chattopadhyay, Benjamin David Haeffele, Rene Vidal, Donald Geman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6346-6371
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A Ramirez, Christopher K Harris, A. Rupam Mahmood, Dale Schuurmans; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6372-6396
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6397-6412
How Interpretable Are Interpretable Graph Neural Networks?
Yongqiang Chen, Yatao Bian, Bo Han, James Cheng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6413-6456
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6457-6485
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation
Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6486-6502
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6503-6518
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6519-6538
Policy-conditioned Environment Models are More Generalizable
Ruifeng Chen, Xiong-Hui Chen, Yihao Sun, Siyuan Xiao, Minhui Li, Yang Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6539-6561
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
Dongping Chen, Ruoxi Chen, Shilin Zhang, Yaochen Wang, Yinuo Liu, Huichi Zhou, Qihui Zhang, Yao Wan, Pan Zhou, Lichao Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6562-6595
Premise Order Matters in Reasoning with Large Language Models
Xinyun Chen, Ryan Andrew Chi, Xuezhi Wang, Denny Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6596-6620
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6621-6642
Robust Classification via a Single Diffusion Model
Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6643-6665
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
Yang Chen, Cong Fang, Zhouchen Lin, Bing Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6666-6698
Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
Zhiliang Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6699-6727
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes
Yifan Chen, Mark Goldstein, Mengjian Hua, Michael Samuel Albergo, Nicholas Matthew Boffi, Eric Vanden-Eijnden; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6728-6756
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
Kaiyuan Chen, Xingzhuo Guo, Yu Zhang, Jianmin Wang, Mingsheng Long; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6757-6775
On Interpolating Experts and Multi-Armed Bandits
Houshuang Chen, Yuchen He, Chihao Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6776-6802
Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
Xi Chen, Zhewen Hou, Christopher Metzler, Arian Maleki, Shirin Jalali; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6803-6832
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers
Brian K Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6833-6846
Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces
Ziyi Chen, Heng Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6847-6880
Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning
Yen-Ju Chen, Nai-Chieh Huang, Ching-Pei Lee, Ping-Chun Hsieh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6881-6949
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6950-6972
Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy
Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6973-6991
Offline Transition Modeling via Contrastive Energy Learning
Ruifeng Chen, Chengxing Jia, Zefang Huang, Tian-Shuo Liu, Xu-Hui Liu, Yang Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6992-7014
Efficient Pareto Manifold Learning with Low-Rank Structure
Weiyu Chen, James Kwok; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7015-7032
Toward Adaptive Reasoning in Large Language Models with Thought Rollback
Sijia Chen, Baochun Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7033-7056
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7057-7080
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
Yihang Chen, Fanghui Liu, Taiji Suzuki, Volkan Cevher; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7081-7102
DiJiang: Efficient Large Language Models through Compact Kernelization
Hanting Chen, Liu Zhicheng, Xutao Wang, Yuchuan Tian, Yunhe Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7103-7117
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7118-7142
TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision
Zhuo Chen, Jacob Mccarran, Esteban Vizcaino, Marin Soljacic, Di Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7143-7162
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism
Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7163-7189
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7190-7206
AegisFL: Efficient and Flexible Privacy-Preserving Byzantine-Robust Cross-silo Federated Learning
Dong Chen, Hongyuan Qu, Guangwu Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7207-7219
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models
Justin Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7220-7235
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7236-7259
GRATH: Gradual Self-Truthifying for Large Language Models
Weixin Chen, Dawn Song, Bo Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7260-7279
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
Shengzhuang Chen, Jihoon Tack, Yunqiao Yang, Yee Whye Teh, Jonathan Richard Schwarz, Ying Wei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7280-7297
Performative Prediction with Bandit Feedback: Learning through Reparameterization
Yatong Chen, Wei Tang, Chien-Ju Ho, Yang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7298-7324
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan Suykens; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7325-7345
Recovering Labels from Local Updates in Federated Learning
Huancheng Chen, Haris Vikalo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7346-7372
SelfIE: Self-Interpretation of Large Language Model Embeddings
Haozhe Chen, Carl Vondrick, Chengzhi Mao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7373-7388
Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy
Ziqin Chen, Yongqiang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7389-7439
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
Runfa Chen, Ling Wang, Yu Du, Tianrui Xue, Fuchun Sun, Jianwei Zhang, Wenbing Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7440-7461
A General Framework for Learning from Weak Supervision
Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7462-7485
Diffusion Model-Augmented Behavioral Cloning
Shang-Fu Chen, Hsiang-Chun Wang, Ming-Hao Hsu, Chun-Mao Lai, Shao-Hua Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7486-7510
AutoOS: Make Your OS More Powerful by Exploiting Large Language Models
Huilai Chen, Yuanbo Wen, Limin Cheng, Shouxu Kuang, Yumeng Liu, Weijia Li, Ling Li, Rui Zhang, Xinkai Song, Wei Li, Qi Guo, Yunji Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7511-7525
Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning
Junfeng Chen, Kailiang Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7526-7552
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7553-7567
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
Anthony Chen, Huanrui Yang, Yulu Gan, Denis A Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7568-7585
Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration
Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Xu-Hui Liu, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Yang Yu, Anqi Huang, Kai Xu, Zongzhang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7586-7620
DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images
Baoying Chen, Jishen Zeng, Jianquan Yang, Rui Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7621-7639
$\rm E(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
Dingyang Chen, Qi Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7640-7666
FedMBridge: Bridgeable Multimodal Federated Learning
Jiayi Chen, Aidong Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7667-7686
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness
Honghao Chen, Yurong Zhang, Xiaokun Feng, Xiangxiang Chu, Kaiqi Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7687-7699
One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment
Chaochao Chen, Jiaming Zhang, Yuyuan Li, Zhongxuan Han; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7700-7711
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7712-7730
Diffusive Gibbs Sampling
Wenlin Chen, Mingtian Zhang, Brooks Paige, José Miguel Hernández-Lobato, David Barber; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7731-7747
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7748-7791
$\textttMoE-RBench$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
Guanjie Chen, Xinyu Zhao, Tianlong Chen, Yu Cheng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7792-7808
LLaGA: Large Language and Graph Assistant
Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7809-7823
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
Zhaorun Chen, Zhuokai Zhao, Hongyin Luo, Huaxiu Yao, Bo Li, Jiawei Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7824-7846
Compact Optimality Verification for Optimization Proxies
Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7847-7863
Enhancing Implicit Shape Generators Using Topological Regularizations
Liyan Chen, Yan Zheng, Yang Li, Lohit Anirudh Jagarapu, Haoxiang Li, Hao Kang, Gang Hua, Qixing Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7864-7879
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
Yanda Chen, Ruiqi Zhong, Narutatsu Ri, Chen Zhao, He He, Jacob Steinhardt, Zhou Yu, Kathleen Mckeown; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7880-7904
On the Trajectory Regularity of ODE-based Diffusion Sampling
Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7905-7934
ODIN: Disentangled Reward Mitigates Hacking in RLHF
Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7935-7952
Stacking Deep Set Networks and Pooling by Quantiles
Zhuojun Chen, Xinghua Zhu, Dongzhe Su, Justin C. I. Chuang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7953-7971
What Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks
Xingwu Chen, Difan Zou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:7972-8001
Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context
Xiang Cheng, Yuxin Chen, Suvrit Sra; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8002-8037
Layerwise Change of Knowledge in Neural Networks
Xu Cheng, Lei Cheng, Zhaoran Peng, Yang Xu, Tian Han, Quanshi Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8038-8059
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
Ze Cheng, Zhongkai Hao, Xiaoqiang Wang, Jianing Huang, Youjia Wu, Xudan Liu, Yiru Zhao, Songming Liu, Hang Su; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8060-8076
Causal Inference out of Control: Estimating Performativity without Treatment Randomization
Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8077-8103
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks
Zhiyuan Cheng, Zhaoyi Liu, Tengda Guo, Shiwei Feng, Dongfang Liu, Mingjie Tang, Xiangyu Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8104-8122
GaussianPro: 3D Gaussian Splatting with Progressive Propagation
Kai Cheng, Xiaoxiao Long, Kaizhi Yang, Yao Yao, Wei Yin, Yuexin Ma, Wenping Wang, Xuejin Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8123-8140
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios, David Belius; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8141-8162
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8163-8183
Can AI Assistants Know What They Don’t Know?
Qinyuan Cheng, Tianxiang Sun, Xiangyang Liu, Wenwei Zhang, Zhangyue Yin, Shimin Li, Linyang Li, Zhengfu He, Kai Chen, Xipeng Qiu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8184-8202
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation
Zelei Cheng, Xian Wu, Jiahao Yu, Sabrina Yang, Gang Wang, Xinyu Xing; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8203-8228
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
Jie Cheng, Gang Xiong, Xingyuan Dai, Qinghai Miao, Yisheng Lv, Fei-Yue Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8229-8247
Kernel Semi-Implicit Variational Inference
Ziheng Cheng, Longlin Yu, Tianyu Xie, Shiyue Zhang, Cheng Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8248-8269
Creative Text-to-Audio Generation via Synthesizer Programming
Manuel Cherep, Nikhil Singh, Jessica Shand; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8270-8285
Leveraging (Biased) Information: Multi-armed Bandits with Offline Data
Wang Chi Cheung, Lixing Lyu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8286-8309
Language Models as Science Tutors
Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Aragon, Arturo Rodriguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Xia, Jiatong Yu, Junjie Zhu, Zhiyong Ren, Sanjeev Arora, Danqi Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8310-8335
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8336-8358
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael Jordan, Joseph E. Gonzalez, Ion Stoica; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8359-8388
MS-TIP: Imputation Aware Pedestrian Trajectory Prediction
Pranav Singh Chib, Achintya Nath, Paritosh Kabra, Ishu Gupta, Pravendra Singh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8389-8402
Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction
Pranav Singh Chib, Pravendra Singh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8403-8416
How Flawed Is ECE? An Analysis via Logit Smoothing
Muthu Chidambaram, Holden Lee, Colin Mcswiggen, Semon Rezchikov; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8417-8435
Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants
Isabel Chien, Wessel P Bruinsma, Javier Gonzalez, Richard E. Turner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8436-8467
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
Zhi-Yi Chin, Chieh Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8468-8486
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
Brian M Cho, Kyra Gan, Nathan Kallus; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8487-8509
Parameterized Physics-informed Neural Networks for Parameterized PDEs
Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8510-8533
Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
Brian M Cho, Yaroslav Mukhin, Kyra Gan, Ivana Malenica; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8534-8555
Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling
Myungsik Cho, Jongeui Park, Suyoung Lee, Youngchul Sung; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8556-8577
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation
Minsik Cho, Mohammad Rastegari, Devang Naik; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8578-8592
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
Hyuna Cho, Jaeyoon Sim, Guorong Wu, Won Hwa Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8593-8608
Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration
Gyusang Cho, Chan-Hyun Youn; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8609-8628
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
Jaemoo Choi, Jaewoong Choi, Myungjoo Kang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8629-8650
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
Heewoong Choi, Sangwon Jung, Hongjoon Ahn, Taesup Moon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8651-8671
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
Hoyong Choi, Nohyun Ki, Hye Won Chung; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8672-8701
Embodied CoT Distillation From LLM To Off-the-shelf Agents
Wonje Choi, Woo Kyung Kim, Minjong Yoo, Honguk Woo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8702-8721
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
Hyeong Kyu Choi, Yixuan Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8722-8739
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8740-8761
Online bipartite matching with imperfect advice
Davin Choo, Themistoklis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8762-8781
A connection between Tempering and Entropic Mirror Descent
Nicolas Chopin, Francesca Crucinio, Anna Korba; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8782-8800
Learning Linear Block Error Correction Codes
Yoni Choukroun, Lior Wolf; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8801-8814
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts
Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui, Naigang Wang, Pin-Yu Chen, Christopher Carothers; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8815-8847
SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity
Tianshu Chu, Dachuan Xu, Wei Yao, Jin Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8848-8903
How Private are DP-SGD Implementations?
Lynn Chua, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8904-8918
Sampling-based Multi-dimensional Recalibration
Youngseog Chung, Ian Char, Jeff Schneider; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8919-8940
Prompt-tuning Latent Diffusion Models for Inverse Problems
Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8941-8967
MusicRL: Aligning Music Generation to Human Preferences
Geoffrey Cideron, Sertan Girgin, Mauro Verzetti, Damien Vincent, Matej Kastelic, Zalán Borsos, Brian Mcwilliams, Victor Ungureanu, Olivier Bachem, Olivier Pietquin, Matthieu Geist, Leonard Hussenot, Neil Zeghidour, Andrea Agostinelli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8968-8984
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
Andrea Cini, Danilo Mandic, Cesare Alippi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:8985-8999
Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens
Ross M Clarke, José Miguel Hernández-Lobato; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9000-9032
$\mathttVITS$ : Variational Inference Thompson Sampling for contextual bandits
Pierre Clavier, Tom Huix, Alain Oliviero Durmus; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9033-9075
CogBench: a large language model walks into a psychology lab
Julian Coda-Forno, Marcel Binz, Jane X Wang, Eric Schulz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9076-9108
Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices
Nathaniel Cohen, Vladimir Kulikov, Matan Kleiner, Inbar Huberman-Spiegelglas, Tomer Michaeli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9109-9137
Improving Token-Based World Models with Parallel Observation Prediction
Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9138-9160
Perturb-and-Project: Differentially Private Similarities and Marginals
Vincent Cohen-Addad, Tommaso D’Orsi, Alessandro Epasto, Vahab Mirrokni, Peilin Zhong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9161-9179
Multi-View Stochastic Block Models
Vincent Cohen-Addad, Tommaso D’Orsi, Silvio Lattanzi, Rajai Nasser; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9180-9207
A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering
Vincent Cohen-Addad, Tommaso D’Orsi, Aida Mousavifar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9208-9229
Dynamic Correlation Clustering in Sublinear Update Time
Vincent Cohen-Addad, Silvio Lattanzi, Andreas Maggiori, Nikos Parotsidis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9230-9274
A2Q+: Improving Accumulator-Aware Weight Quantization
Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig, Yaman Umuroglu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9275-9291
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9292-9345
Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
Vincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley H. Holliday, Bob M. Jacobs, Nathan Lambert, Milan Mosse, Eric Pacuit, Stuart Russell, Hailey Schoelkopf, Emanuel Tewolde, William S. Zwicker; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9346-9360
Statistical Inference Under Constrained Selection Bias
Santiago Cortes-Gomez, Mateo Dulce Rubio, Carlos Miguel Patiño, Bryan Wilder; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9361-9379
Scaling Laws for the Value of Individual Data Points in Machine Learning
Ian Connick Covert, Wenlong Ji, Tatsunori Hashimoto, James Zou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9380-9406
Time Series Diffusion in the Frequency Domain
Jonathan Crabbé, Nicolas Huynh, Jan Pawel Stanczuk, Mihaela Van Der Schaar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9407-9438
Conformal Prediction Sets Improve Human Decision Making
Jesse C. Cresswell, Yi Sui, Bhargava Kumar, Noël Vouitsis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9439-9457
Agent Instructs Large Language Models to be General Zero-Shot Reasoners
Nicholas Crispino, Kyle Montgomery, Fankun Zeng, Dawn Song, Chenguang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9458-9549
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
Katherine Crowson, Stefan Andreas Baumann, Alex Birch, Tanishq Mathew Abraham, Daniel Z Kaplan, Enrico Shippole; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9550-9575
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis
Daniel Csillag, Claudio Jose Struchiner, Guilherme Tegoni Goedert; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9576-9602
Major-Minor Mean Field Multi-Agent Reinforcement Learning
Kai Cui, Christian Fabian, Anam Tahir, Heinz Koeppl; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9603-9632
Learning Latent Space Hierarchical EBM Diffusion Models
Jiali Cui, Tian Han; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9633-9645
Harmonizing Generalization and Personalization in Federated Prompt Learning
Tianyu Cui, Hongxia Li, Jingya Wang, Ye Shi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9646-9661
Asymptotics of feature learning in two-layer networks after one gradient-step
Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue Lu, Lenka Zdeborova, Bruno Loureiro; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9662-9695
Ameliorate Spurious Correlations in Dataset Condensation
Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9696-9721
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9722-9744
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples
Andrew Craig Cullen, Shijie Liu, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9745-9761
Differentially Private Decentralized Learning with Random Walks
Edwige Cyffers, Aurélien Bellet, Jalaj Upadhyay; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9762-9783
Getting the most out of your tokenizer for pre-training and domain adaptation
Gautier Dagan, Gabriel Synnaeve, Baptiste Roziere; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9784-9805
Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training
Tehila Dahan, Kfir Yehuda Levy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9806-9833
Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis
Jessica Dai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9834-9845
Multi-View Clustering by Inter-cluster Connectivity Guided Reward
Hao Dai, Yang Liu, Peng Su, Hecheng Cai, Shudong Huang, Jiancheng Lv; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9846-9855
High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion
Yu Dai, Junchen Shen, Zijie Zhai, Danlin Liu, Jingyang Chen, Yu Sun, Ping Li, Jie Zhang, Kai Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9856-9871
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation
Juntao Dai, Yaodong Yang, Qian Zheng, Gang Pan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9872-9903
Averaging $n$-step Returns Reduces Variance in Reinforcement Learning
Brett Daley, Martha White, Marlos C. Machado; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9904-9930
Pruned Pivot: Correlation Clustering Algorithm for Dynamic, Parallel, and Local Computation Models
Mina Dalirrooyfard, Konstantin Makarychev, Slobodan Mitrovic; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9931-9952
Physics and Lie symmetry informed Gaussian processes
David Dalton, Dirk Husmeier, Hao Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9953-9975
Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold
Tingting Dan, Ziquan Wei, Won Hwa Kim, Guorong Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9976-9990
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents
Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce, Lenka Zdeborova, Florent Krzakala; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:9991-10016
Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model
Hien Dang, Tho Tran Huu, Tan Minh Nguyen, Nhat Ho; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10017-10040
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Tri Dao, Albert Gu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10041-10071
Boosting Offline Optimizers with Surrogate Sensitivity
Manh Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10072-10090
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
Giannis Daras, Alex Dimakis, Constantinos Costis Daskalakis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10091-10108
Larimar: Large Language Models with Episodic Memory Control
Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurelie Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jiri Navratil, Soham Dan, Pin-Yu Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10109-10126
Understanding the Training Speedup from Sampling with Approximate Losses
Rudrajit Das, Xi Chen, Bertram Ieong, Parikshit Bansal, Sujay Sanghavi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10127-10147
A decoder-only foundation model for time-series forecasting
Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10148-10167
Disparate Impact on Group Accuracy of Linearization for Private Inference
Saswat Das, Marco Romanelli, Ferdinando Fioretto; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10168-10184
New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering
Sanjoy Dasgupta, Eduardo Sany Laber; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10185-10205
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
Riccardo De Santi, Federico Arangath Joseph, Noah Liniger, Mirco Mutti, Andreas Krause; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10206-10234
Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
Riccardo De Santi, Manish Prajapat, Andreas Krause; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10235-10266
Provably Better Explanations with Optimized Aggregation of Feature Attributions
Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10267-10286
Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments
Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lazaro-Gredilla; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10287-10316
Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing
Vikas Deep, Achal Bassamboo, Sandeep Kumar Juneja; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10317-10367
Predicting Lagrangian Multipliers for Mixed Integer Linear Programs
Francesco Demelas, Joseph Le Roux, Mathieu Lacroix, Axel Parmentier; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10368-10384
Prediction-powered Generalization of Causal Inferences
Ilker Demirel, Ahmed Alaa, Anthony Philippakis, David Sontag; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10385-10408
An Unsupervised Approach for Periodic Source Detection in Time Series
Berken Utku Demirel, Christian Holz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10409-10439
Multi-group Learning for Hierarchical Groups
Samuel Deng, Daniel Hsu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10440-10487
A3S: A General Active Clustering Method with Pairwise Constraints
Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10488-10505
Variational Schrödinger Diffusion Models
Wei Deng, Weijian Luo, Yixin Tan, Marin Biloš, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10506-10529
Collaborative Learning with Different Labeling Functions
Yuyang Deng, Mingda Qiao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10530-10552
Exploring the Low-Pass Filtering Behavior in Image Super-Resolution
Haoyu Deng, Zijing Xu, Yule Duan, Xiao Wu, Wenjie Shu, Liang-Jian Deng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10553-10573
Network Tight Community Detection
Jiayi Deng, Xiaodong Yang, Jun Yu, Jun Liu, Zhaiming Shen, Danyang Huang, Huimin Cheng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10574-10596
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10597-10623
Multicalibration for Confidence Scoring in LLMs
Gianluca Detommaso, Martin Andres Bertran, Riccardo Fogliato, Aaron Roth; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10624-10641
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning
Jannik Deuschel, Caleb Ellington, Yingtao Luo, Ben Lengerich, Pascal Friederich, Eric P. Xing; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10642-10660
Stability and Multigroup Fairness in Ranking with Uncertain Predictions
Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10661-10686
Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
Alex Deweese, Guannan Qu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10687-10709
Bivariate Causal Discovery using Bayesian Model Selection
Anish Dhir, Samuel Power, Mark Van Der Wilk; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10710-10735
Trust Regions for Explanations via Black-Box Probabilistic Certification
Amit Dhurandhar, Swagatam Haldar, Dennis Wei, Karthikeyan Natesan Ramamurthy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10736-10764
Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods
Hao Di, Haishan Ye, Xiangyu Chang, Guang Dai, Ivor Tsang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10765-10791
Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient
Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor Tsang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10792-10810
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10811-10840
Fast Co-Training under Weak Dependence via Stream-Based Active Learning
Ilias Diakonikolas, Mingchen Ma, Lisheng Ren, Christos Tzamos; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10841-10864
Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning
Charles Andrew Dickens, Changyu Gao, Connor Pryor, Stephen Wright, Lise Getoor; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10865-10896
Structure Your Data: Towards Semantic Graph Counterfactuals
Angeliki Dimitriou, Maria Lymperaiou, Georgios Filandrianos, Konstantinos Thomas, Giorgos Stamou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10897-10926
Efficient Algorithms for Sum-Of-Minimum Optimization
Lisang Ding, Ziang Chen, Xinshang Wang, Wotao Yin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10927-10959
AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
Li Ding, Wen Fei, Yuyang Huang, Shuangrui Ding, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10960-10977
Understanding Forgetting in Continual Learning with Linear Regression
Meng Ding, Kaiyi Ji, Di Wang, Jinhui Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:10978-11001
Recurrent Distance Filtering for Graph Representation Learning
Yuhui Ding, Antonio Orvieto, Bobby He, Thomas Hofmann; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11002-11015
Robust Stable Spiking Neural Networks
Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11016-11029
Fewer Truncations Improve Language Modeling
Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11030-11048
Delving into Differentially Private Transformer
Youlong Ding, Xueyang Wu, Yining Meng, Yonggang Luo, Hao Wang, Weike Pan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11049-11071
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11072-11090
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, Yuanyuan Xu, Ning Shang, Jiahang Xu, Fan Yang, Mao Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11091-11104
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds
Daniel Dodd, Louis Sharrock, Christopher Nemeth; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11105-11148
Consistent Adversarially Robust Linear Classification: Non-Parametric Setting
Elvis Dohmatob; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11149-11164
A Tale of Tails: Model Collapse as a Change of Scaling Laws
Elvis Dohmatob, Yunzhen Feng, Pu Yang, Francois Charton, Julia Kempe; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11165-11197
Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms
Elvis Dohmatob, Meyer Scetbon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11198-11226
Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions
Nikita Doikov, Sebastian U Stich, Martin Jaggi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11227-11252
Impact of Decentralized Learning on Player Utilities in Stackelberg Games
Kate Donahue, Nicole Immorlica, Meena Jagadeesan, Brendan Lucier, Aleksandrs Slivkins; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11253-11310
Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
Yuxin Dong, Tieliang Gong, Hong Chen, Zhongjiang He, Mengxiang Li, Shuangyong Song, Chen Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11311-11345
Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11346-11374
Position: Building Guardrails for Large Language Models Requires Systematic Design
Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11375-11394
Accelerating PDE Data Generation via Differential Operator Action in Solution Space
Huanshuo Dong, Hong Wang, Haoyang Liu, Jian Luo, Jie Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11395-11411
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Yun-Zhong Qiu, Li Zhang, Jianmin Wang, Mingsheng Long; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11412-11436
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference
Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11437-11452
Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent
Konstantin Donhauser, Javier Abad, Neha Hulkund, Fanny Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11453-11473
Spike Distance Function as a Learning Objective for Spike Prediction
Kevin Doran, Marvin Seifert, Carola A. M. Yovanovich, Tom Baden; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11474-11500
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
Ron Dorfman, Naseem Amin Yehya, Kfir Yehuda Levy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11501-11543
Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
Florian E. Dorner, Moritz Hardt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11544-11572
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
Jordan Dotzel, Yuzong Chen, Bahaa Kotb, Sushma Prasad, Gang Wu, Sheng Li, Mohamed S Abdelfattah, Zhiru Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11573-11591
Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling
Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11592-11612
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
Felix Draxler, Stefan Wahl, Christoph Schnoerr, Ullrich Koethe; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11613-11641
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vazquez, Nicolas Chapados, Alexandre Lacoste; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11642-11662
Principled Gradient-Based MCMC for Conditional Sampling of Text
Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Holden Lee, Jason Eisner, Ryan Cotterell; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11663-11685
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
Chaoqun Du, Yizeng Han, Gao Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11686-11703
GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
Cunxiao Du, Jing Jiang, Xu Yuanchen, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11704-11720
Position: Compositional Generative Modeling: A Single Model is Not All You Need
Yilun Du, Leslie Pack Kaelbling; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11721-11732
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11733-11763
Learning Iterative Reasoning through Energy Diffusion
Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11764-11776
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Xuefeng Du, Yiyou Sun, Yixuan Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11777-11811
AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
Yu Du, Fangyun Wei, Hongyang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11812-11829
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization
Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11830-11887
Bottleneck-Minimal Indexing for Generative Document Retrieval
Xin Du, Lixin Xiu, Kumiko Tanaka-Ishii; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11888-11904
MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving
Jiangfei Duan, Runyu Lu, Haojie Duanmu, Xiuhong Li, Xingcheng Zhang, Dahua Lin, Ion Stoica, Hao Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11905-11917
MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series
Jufang Duan, Wei Zheng, Yangzhou Du, Wenfa Wu, Haipeng Jiang, Hongsheng Qi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11918-11939
DE-COP: Detecting Copyrighted Content in Language Models Training Data
André Vicente Duarte, Xuandong Zhao, Arlindo L. Oliveira, Lei Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11940-11956
Unveiling the Potential of AI for Nanomaterial Morphology Prediction
Ivan Dubrovsky, Andrei Dmitrenko, Aleksei Dmitrenko, Nikita Serov, Vladimir Vinogradov; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11957-11978
Consistent Submodular Maximization
Paul Duetting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11979-11991
Observable Propagation: Uncovering Feature Vectors in Transformers
Jacob Dunefsky, Arman Cohan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:11992-12033
Sharpness-Aware Data Generation for Zero-shot Quantization
Hoang Anh Dung, Cuong Pham, Trung Le, Jianfei Cai, Thanh-Toan Do; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12034-12045
Making Old Things New: A Unified Algorithm for Differentially Private Clustering
Max Dupre La Tour, Monika Henzinger, David Saulpic; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12046-12086
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation
Benjamin Dupuis, Umut Simsekli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12087-12137
Outlier-robust Kalman Filtering through Generalised Bayes
Gerardo Duran-Martin, Matias Altamirano, Alex Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, Francois-Xavier Briol, Kevin Patrick Murphy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12138-12171
Enabling Uncertainty Estimation in Iterative Neural Networks
Nikita Durasov, Doruk Oner, Jonathan Donier, Hieu Le, Pascal Fua; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12172-12189
Barrier Algorithms for Constrained Non-Convex Optimization
Pavel Dvurechensky, Mathias Staudigl; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12190-12214
Efficient Exploration for LLMs
Vikranth Dwaracherla, Seyed Mohammad Asghari, Botao Hao, Benjamin Van Roy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12215-12227
Equivariant Frames and the Impossibility of Continuous Canonicalization
Nadav Dym, Hannah Lawrence, Jonathan W. Siegel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12228-12267
Position: Insights from Survey Methodology can Improve Training Data
Stephanie Eckman, Barbara Plank, Frauke Kreuter; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12268-12283
Extreme Compression of Large Language Models via Additive Quantization
Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12284-12303
Ai-sampler: Adversarial Learning of Markov kernels with involutive maps
Evgenii Egorov, Riccardo Valperga, Stratis Gavves; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12304-12317
Efficient Error Certification for Physics-Informed Neural Networks
Francisco Eiras, Adel Bibi, Rudy R Bunel, Krishnamurthy Dj Dvijotham, Philip Torr, M. Pawan Kumar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12318-12347
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI
Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schroeder De Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Rottger, Philip Torr, Trevor Darrell, Yong Suk Lee, Jakob Nicolaus Foerster; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12348-12370
Scalable Pre-training of Large Autoregressive Image Models
Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Vaishaal Shankar, Alexander T Toshev, Joshua M. Susskind, Armand Joulin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12371-12384
Adaptive Online Experimental Design for Causal Discovery
Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa Ghasemi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12385-12408
TSLANet: Rethinking Transformers for Time Series Representation Learning
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12409-12428
Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
Mohannad Elhamod, Anuj Karpatne; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12429-12447
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning
Mohamed Elsayed, Homayoon Farrahi, Felix Dangel, A. Rupam Mahmood; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12448-12468
Approximate Nearest Neighbor Search with Window Filters
Joshua Engels, Ben Landrum, Shangdi Yu, Laxman Dhulipala, Julian Shun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12469-12490
DsDm: Model-Aware Dataset Selection with Datamodels
Logan Engstrom, Axel Feldmann, Aleksander Madry; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12491-12526
Compositional Curvature Bounds for Deep Neural Networks
Taha Entesari, Sina Sharifi, Mahyar Fazlyab; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12527-12546
Disentangled 3D Scene Generation with Layout Learning
Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A Efros, Aleksander Holynski; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12547-12559
PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihaly Petreczky; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12560-12587
High-Dimensional Geometric Streaming for Nearly Low Rank Data
Hossein Esfandiari, Praneeth Kacham, Vahab Mirrokni, David Woodruff, Peilin Zhong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12588-12605
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, Dustin Podell, Tim Dockhorn, Zion English, Robin Rombach; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12606-12633
Model Alignment as Prospect Theoretic Optimization
Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12634-12651
Fast Timing-Conditioned Latent Audio Diffusion
Zach Evans, Cj Carr, Josiah Taylor, Scott H. Hawley, Jordi Pons; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12652-12665
Scaling Exponents Across Parameterizations and Optimizers
Katie E Everett, Lechao Xiao, Mitchell Wortsman, Alexander A Alemi, Roman Novak, Peter J Liu, Izzeddin Gur, Jascha Sohl-Dickstein, Leslie Pack Kaelbling, Jaehoon Lee, Jeffrey Pennington; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12666-12700
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Benjamin Eyre, Elliot Creager, David Madras, Vardan Papyan, Richard Zemel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12701-12722
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12723-12753
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12754-12783
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
Fabian Falck, Ziyu Wang, Christopher C. Holmes; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12784-12805
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data
Shunxing Fan, Mingming Gong, Kun Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12806-12831
On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity
Junyi Fan, Yuxuan Han, Zijian Liu, Jian-Feng Cai, Yang Wang, Zhengyuan Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12832-12857
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
Ziqing Fan, Shengchao Hu, Jiangchao Yao, Gang Niu, Ya Zhang, Masashi Sugiyama, Yanfeng Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12858-12881
Revisit the Essence of Distilling Knowledge through Calibration
Wen-Shu Fan, Su Lu, Xin-Chun Li, De-Chuan Zhan, Le Gan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12882-12894
DOGE: Domain Reweighting with Generalization Estimation
Simin Fan, Matteo Pagliardini, Martin Jaggi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12895-12915
Path-Guided Particle-based Sampling
Mingzhou Fan, Ruida Zhou, Chao Tian, Xiaoning Qian; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12916-12934
Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification
Luyang Fang, Yongkai Chen, Wenxuan Zhong, Ping Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12935-12956
Exploring Correlations of Self-Supervised Tasks for Graphs
Taoran Fang, Wei Chow, Yifei Sun, Kaiqiao Han, Lvbin Ma, Yang Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12957-12972
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
Han Fang, Zhihao Song, Paul Weng, Yutong Ban; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12973-12992
BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition
Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:12993-13009
StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation
Weike Fang, Zhejian Zhou, Junzhou He, Weihang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13010-13028
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
Eros Fanı̀, Raffaello Camoriano, Barbara Caputo, Marco Ciccone; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13029-13048
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
Jesse Farebrother, Jordi Orbay, Quan Vuong, Adrien Ali Taiga, Yevgen Chebotar, Ted Xiao, Alex Irpan, Sergey Levine, Pablo Samuel Castro, Aleksandra Faust, Aviral Kumar, Rishabh Agarwal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13049-13071
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13072-13085
From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks
Amirhossein Farzam, Allen Tannenbaum, Guillermo Sapiro; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13086-13108
Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition
Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Meishan Zhang, Mong-Li Lee, Wynne Hsu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13109-13125
Bayesian Exploration Networks
Mattie Fellows, Brandon Gary Kaplowitz, Christian Schroeder De Witt, Shimon Whiteson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13126-13152
Auto-Linear Phenomenon in Subsurface Imaging
Yinan Feng, Yinpeng Chen, Peng Jin, Shihang Feng, Youzuo Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13153-13174
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
Lang Feng, Pengjie Gu, Bo An, Gang Pan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13175-13198
Fast White-Box Adversarial Streaming Without a Random Oracle
Ying Feng, Aayush Jain, David Woodruff; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13199-13224
DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
Yongchao Feng, Shiwei Li, Yingjie Gao, Ziyue Huang, Yanan Zhang, Qingjie Liu, Yunhong Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13225-13240
Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou, Ye Yuan, Guoren Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13241-13255
UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
Shikun Feng, Yuyan Ni, Minghao Li, Yanwen Huang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13256-13277
Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg
Yi Feng, Georgios Piliouras, Xiao Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13278-13325
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models
Shanglun Feng, Florian Tramèr; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13326-13364
Memory Efficient Neural Processes via Constant Memory Attention Block
Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13365-13386
Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games
Songtao Feng, Ming Yin, Yu-Xiang Wang, Jing Yang, Yingbin Liang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13387-13422
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA
Weitao Feng, Wenbo Zhou, Jiyan He, Jie Zhang, Tianyi Wei, Guanlin Li, Tianwei Zhang, Weiming Zhang, Nenghai Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13423-13444
GenCO: Generating Diverse Designs with Combinatorial Constraints
Aaron M Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13445-13459
Active Ranking and Matchmaking, with Perfect Matchings
Hafedh El Ferchichi, Matthieu Lerasle, Vianney Perchet; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13460-13480
Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
Chrisantha Fernando, Dylan Sunil Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktäschel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13481-13544
Trained Random Forests Completely Reveal your Dataset
Julien Ferry, Ricardo Fukasawa, Timothée Pascal, Thibaut Vidal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13545-13569
Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast
Thomas Ferté, Dan Dutartre, Boris P Hejblum, Romain Griffier, Vianney Jouhet, Rodolphe Thiébaut, Pierrick Legrand, Xavier Hinaut; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13570-13591
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13592-13607
On Statistical Learning Theory for Distributional Inputs
Christian Fiedler, Pierre-François Massiani, Friedrich Solowjow, Sebastian Trimpe; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13608-13632
Cooperative Graph Neural Networks
Ben Finkelshtein, Xingyue Huang, Michael M. Bronstein, Ismail Ilkan Ceylan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13633-13659
Critical feature learning in deep neural networks
Kirsten Fischer, Javed Lindner, David Dahmen, Zohar Ringel, Michael Krämer, Moritz Helias; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13660-13690
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13691-13705
Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
Aaron Fisher; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13706-13733
Stochastic Q-learning for Large Discrete Action Spaces
Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13734-13759
Federated Combinatorial Multi-Agent Multi-Armed Bandits
Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13760-13782
Initial Guessing Bias: How Untrained Networks Favor Some Classes
Emanuele Francazi, Aurelien Lucchi, Marco Baity-Jesi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13783-13839
Explaining Probabilistic Models with Distributional Values
Luca Franceschi, Michele Donini, Cedric Archambeau, Matthias Seeger; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13840-13863
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Trevor Darrell, Fabio Galasso; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13864-13884
Weisfeiler-Leman at the margin: When more expressivity matters
Billy Joe Franks, Christopher Morris, Ameya Velingker, Floris Geerts; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13885-13926
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13927-13942
Fair Off-Policy Learning from Observational Data
Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13943-13972
Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption
Bernd Frauenknecht, Artur Eisele, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13973-14005
Trustworthy Actionable Perturbations
Jesse Friedbaum, Sudarshan Adiga, Ravi Tandon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14006-14034
Interpretability Illusions in the Generalization of Simplified Models
Dan Friedman, Andrew Kyle Lampinen, Lucas Dixon, Danqi Chen, Asma Ghandeharioun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14035-14059
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
Yichao Fu, Peter Bailis, Ion Stoica, Hao Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14060-14079
A Touch, Vision, and Language Dataset for Multimodal Alignment
Letian Fu, Gaurav Datta, Huang Huang, William Chung-Ho Panitch, Jaimyn Drake, Joseph Ortiz, Mustafa Mukadam, Mike Lambeta, Roberto Calandra, Ken Goldberg; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14080-14101
Hyperbolic Geometric Latent Diffusion Model for Graph Generation
Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14102-14124
Data Engineering for Scaling Language Models to 128K Context
Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14125-14134
Language-guided Skill Learning with Temporal Variational Inference
Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14135-14156
PinNet: Pinpoint Instructive Information for Retrieval Augmented Code-to-Text Generation
Han Fu, Jian Tan, Pinhan Zhang, Feifei Li, Jianling Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14157-14174
Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization
Qiang Fu, Ashia Camage Wilson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14175-14206
Breaking through the learning plateaus of in-context learning in Transformer
Jingwen Fu, Tao Yang, Yuwang Wang, Yan Lu, Nanning Zheng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14207-14227
Towards Theoretical Understandings of Self-Consuming Generative Models
Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14228-14255
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning
Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14256-14274
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber, Tom Wollschläger, Bertrand Charpentier, Antonio Oroz, Stephan Günnemann; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14275-14307
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions
Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14308-14342
Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets
Magzhan Gabidolla, Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14343-14364
Positive Concave Deep Equilibrium Models
Mateusz Gabor, Tomasz Piotrowski, Renato L. G. Cavalcante; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14365-14381
Let Go of Your Labels with Unsupervised Transfer
Artyom Gadetsky, Yulun Jiang, Maria Brbic; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14382-14407
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel
Uri Gadot, Kaixin Wang, Navdeep Kumar, Kfir Yehuda Levy, Shie Mannor; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14408-14432
Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification
Jay Gala, Pengtao Xie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14433-14452
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
Kai Gan, Tong Wei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14453-14470
Reflective Policy Optimization
Yaozhong Gan, Renye Yan, Zhe Wu, Junliang Xing; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14471-14490
Confidence Aware Inverse Constrained Reinforcement Learning
Sriram Ganapathi Subramanian, Guiliang Liu, Mohammed Elmahgiubi, Kasra Rezaee, Pascal Poupart; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14491-14512
Testing the Feasibility of Linear Programs with Bandit Feedback
Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14513-14539
A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
Hongchang Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14540-14610
Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining
Yudong Gao, Honglong Chen, Peng Sun, Zhe Li, Junjian Li, Huajie Shao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14611-14637
An Intrinsic Vector Heat Network
Alexander Gao, Maurice Chu, Mubbasir Kapadia, Ming Lin, Hsueh-Ti Derek Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14638-14650
Stochastic Weakly Convex Optimization beyond Lipschitz Continuity
Wenzhi Gao, Qi Deng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14651-14680
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14681-14701
Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback
Songyang Gao, Qiming Ge, Wei Shen, Shihan Dou, Junjie Ye, Xiao Wang, Rui Zheng, Yicheng Zou, Zhi Chen, Hang Yan, Qi Zhang, Dahua Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14702-14722
Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy
Riqiang Gao, Florin-Cristian Ghesu, Simon Arberet, Shahab Basiri, Esa Kuusela, Martin Kraus, Dorin Comaniciu, Ali Kamen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14723-14746
DMTG: One-Shot Differentiable Multi-Task Grouping
Yuan Gao, Shuguo Jiang, Moran Li, Jin-Gang Yu, Gui-Song Xia; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14747-14762
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
Changyu Gao, Andrew Lowy, Xingyu Zhou, Stephen Wright; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14763-14789
Speech Self-Supervised Learning Using Diffusion Model Synthetic Data
Heting Gao, Kaizhi Qian, Junrui Ni, Chuang Gan, Mark A. Hasegawa-Johnson, Shiyu Chang, Yang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14790-14810
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
Bowen Gao, Minsi Ren, Yuyan Ni, Yanwen Huang, Bo Qiang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14811-14825
Non-convex Stochastic Composite Optimization with Polyak Momentum
Yuan Gao, Anton Rodomanov, Sebastian U Stich; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14826-14843
Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations
Feng Gao, Liangzhi Shi, Shenao Zhang, Zhaoran Wang, Yi Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14844-14858
Decoupling Learning and Decision-Making: Breaking the $\mathcalO(\sqrtT)$ Barrier in Online Resource Allocation with First-Order Methods
Wenzhi Gao, Chunlin Sun, Chenyu Xue, Yinyu Ye; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14859-14883
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14884-14901
Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation
Junyu Gao, Xuan Yao, Changsheng Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14902-14919
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
Chenyin Gao, Zhiming Zhang, Shu Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14920-14953
Prompt-based Visual Alignment for Zero-shot Policy Transfer
Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, Qicheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14954-14968
Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification
Jintong Gao, He Zhao, Dan Dan Guo, Hongyuan Zha; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14969-14987
Projection-Free Online Convex Optimization with Time-Varying Constraints
Dan Garber, Ben Kretzu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:14988-15005
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V Albrecht; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15006-15036
LLark: A Multimodal Instruction-Following Language Model for Music
Joshua P Gardner, Simon Durand, Daniel Stoller, Rachel M Bittner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15037-15082
Memorization Through the Lens of Curvature of Loss Function Around Samples
Isha Garg, Deepak Ravikumar, Kaushik Roy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15083-15101
Simplicity Bias via Global Convergence of Sharpness Minimization
Khashayar Gatmiry, Zhiyuan Li, Sashank J. Reddi, Stefanie Jegelka; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15102-15129
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
Khashayar Gatmiry, Nikunj Saunshi, Sashank J. Reddi, Stefanie Jegelka, Sanjiv Kumar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15130-15152
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
Mudit Gaur, Amrit Bedi, Di Wang, Vaneet Aggarwal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15153-15179
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models
Tanmay Gautam, Youngsuk Park, Hao Zhou, Parameswaran Raman, Wooseok Ha; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15180-15208
Position: Categorical Deep Learning is an Algebraic Theory of All Architectures
Bruno Gavranović, Paul Lessard, Andrew Joseph Dudzik, Tamara Von Glehn, João Guilherme Madeira Araújo, Petar Veličković; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15209-15241
Masked Face Recognition with Generative-to-Discriminative Representations
Shiming Ge, Weijia Guo, Chenyu Li, Zhang Junzheng, Yong Li, Dan Zeng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15242-15254
Safe and Robust Subgame Exploitation in Imperfect Information Games
Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15255-15270
No Double Descent in Principal Component Regression: A High-Dimensional Analysis
Daniel Gedon, Antonio H. Ribeiro, Thomas B. Schön; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15271-15293
Don’t trust your eyes: on the (un)reliability of feature visualizations
Robert Geirhos, Roland S. Zimmermann, Blair Bilodeau, Wieland Brendel, Been Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15294-15330
Learning with 3D rotations, a hitchhiker’s guide to SO(3)
Andreas René Geist, Jonas Frey, Mikel Zhobro, Anna Levina, Georg Martius; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15331-15350
Graph-Triggered Rising Bandits
Gianmarco Genalti, Marco Mussi, Nicola Gatti, Marcello Restelli, Matteo Castiglioni, Alberto Maria Metelli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15351-15380
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng, Tian Han, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Søren Hauberg, Bo Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15381-15401
Reinforcement Learning within Tree Search for Fast Macro Placement
Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15402-15417
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
Ignat Georgiev, Krishnan Srinivasan, Jie Xu, Eric Heiden, Animesh Garg; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15418-15437
Emergent Equivariance in Deep Ensembles
Jan E Gerken, Pan Kessel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15438-15465
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
Asma Ghandeharioun, Avi Caciularu, Adam Pearce, Lucas Dixon, Mor Geva; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15466-15490
Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization
Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Adam Sealfon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15491-15511
State-Constrained Zero-Sum Differential Games with One-Sided Information
Mukesh Ghimire, Lei Zhang, Zhe Xu, Yi Ren; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15512-15539
Understanding Finetuning for Factual Knowledge Extraction
Gaurav Rohit Ghosal, Tatsunori Hashimoto, Aditi Raghunathan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15540-15558
A Closer Look at the Limitations of Instruction Tuning
Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Ramaneswaran S, Deepali Aneja, Zeyu Jin, Ramani Duraiswami, Dinesh Manocha; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15559-15589
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms
Avishek Ghosh, Arya Mazumdar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15590-15609
Optimal Eye Surgeon: Finding image priors through sparse generators at initialization
Avrajit Ghosh, Xitong Zhang, Kenneth K. Sun, Qing Qu, Saiprasad Ravishankar, Rongrong Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15610-15645
Self-Correcting Self-Consuming Loops for Generative Model Training
Nate Gillman, Michael Freeman, Daksh Aggarwal, Chia-Hong Hsu, Calvin Luo, Yonglong Tian, Chen Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15646-15677
Kernel-Based Evaluation of Conditional Biological Sequence Models
Pierre Glaser, Steffanie Paul, Alissa M Hummer, Charlotte Deane, Debora Susan Marks, Alan Nawzad Amin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15678-15705
Better & Faster Large Language Models via Multi-token Prediction
Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Roziere, David Lopez-Paz, Gabriel Synnaeve; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15706-15734
All-in-one simulation-based inference
Manuel Gloeckler, Michael Deistler, Christian Dietrich Weilbach, Frank Wood, Jakob H. Macke; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15735-15766
Position: Fundamental Limitations of LLM Censorship Necessitate New Approaches
David Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot, Vardan Papyan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15767-15787
Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
Micah Goldblum, Marc Anton Finzi, Keefer Rowan, Andrew Gordon Wilson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15788-15808
CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
Junchao Gong, Lei Bai, Peng Ye, Wanghan Xu, Na Liu, Jianhua Dai, Xiaokang Yang, Wanli Ouyang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15809-15822
Does Label Smoothing Help Deep Partial Label Learning?
Xiuwen Gong, Nitin Bisht, Guandong Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15823-15838
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding
Linyuan Gong, Mostafa Elhoushi, Alvin Cheung; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15839-15853
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong, Jie Hao, Mingrui Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15854-15892
Evolution-Inspired Loss Functions for Protein Representation Learning
Chengyue Gong, Adam Klivans, James Madigan Loy, Tianlong Chen, Qiang Liu, Daniel Jesus Diaz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15893-15906
Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
Linyuan Gong, Sida Wang, Mostafa Elhoushi, Alvin Cheung; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15907-15928
E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15929-15950
High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise
Eduard Gorbunov, Abdurakhmon Sadiev, Marina Danilova, Samuel Horváth, Gauthier Gidel, Pavel Dvurechensky, Alexander Gasnikov, Peter Richtárik; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:15951-16070
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Niclas Alexander Göring, Florian Hess, Manuel Brenner, Zahra Monfared, Daniel Durstewitz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16071-16114
MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16115-16152
Weighted distance nearest neighbor condensing
Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16153-16166
Test-Time Degradation Adaptation for Open-Set Image Restoration
Yuanbiao Gou, Haiyu Zhao, Boyun Li, Xinyan Xiao, Xi Peng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16167-16177
Learning Universal Predictors
Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Gregoire Deletang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16178-16205
Long Range Propagation on Continuous-Time Dynamic Graphs
Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16206-16225
The Expressive Power of Path-Based Graph Neural Networks
Caterina Graziani, Tamara Drucks, Fabian Jogl, Monica Bianchini, Franco Scarselli, Thomas Gärtner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16226-16249
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16250-16274
Fine-grained Classes and How to Find Them
Matej Grcic, Artyom Gadetsky, Maria Brbic; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16275-16294
AI Control: Improving Safety Despite Intentional Subversion
Ryan Greenblatt, Buck Shlegeris, Kshitij Sachan, Fabien Roger; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16295-16336
Stochastic Localization via Iterative Posterior Sampling
Louis Grenioux, Maxence Noble, Marylou Gabrié, Alain Oliviero Durmus; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16337-16376
A Bayesian Approach to Online Planning
Nir Greshler, David Ben Eli, Carmel Rabinovitz, Gabi Guetta, Liran Gispan, Guy Zohar, Aviv Tamar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16377-16403
Scaling Down Deep Learning with MNIST-1D
Samuel James Greydanus, Dmitry Kobak; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16404-16415
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics
Luca Grillotti, Maxence Faldor, Borja G. León, Antoine Cully; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16416-16459
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
Sebastian Gregor Gruber, Florian Buettner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16460-16501
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
Lukas Gruber, Markus Holzleitner, Johannes Lehner, Sepp Hochreiter, Werner Zellinger; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16502-16529
On the Calibration of Human Pose Estimation
Kerui Gu, Rongyu Chen, Xuanlong Yu, Angela Yao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16530-16547
EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization
Zhibin Gu, Zhendong Li, Songhe Feng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16548-16567
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Alex Gu, Baptiste Roziere, Hugh James Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16568-16621
Data-free Distillation of Diffusion Models with Bootstrapping
Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16622-16646
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16647-16672
Predictive Performance Comparison of Decision Policies Under Confounding
Luke Guerdan, Amanda Lee Coston, Ken Holstein, Steven Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16673-16705
On the Diminishing Returns of Width for Continual Learning
Etash Kumar Guha, Vihan Lakshman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16706-16730
Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment
Haokun Gui, Xiucheng Li, Xinyang Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16731-16750
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths
Charles Guille-Escuret, Hiroki Naganuma, Kilian Fatras, Ioannis Mitliagkas; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16751-16772
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
Gauthier Guinet, Behrooz Omidvar-Tehrani, Anoop Deoras, Laurent Callot; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16773-16801
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16802-16812
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16813-16848
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
Tianyu Guo, Sai Praneeth Karimireddy, Michael Jordan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16849-16868
ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
Ziao Guo, Yang Li, Chang Liu, Wenli Ouyang, Junchi Yan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16869-16890
On the Embedding Collapse when Scaling up Recommendation Models
Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16891-16909
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
Yongxin Guo, Xiaoying Tang, Tao Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16910-16944
Compressing Large Language Models by Joint Sparsification and Quantization
Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16945-16957
Automated Loss function Search for Class-imbalanced Node Classification
Xinyu Guo, Kai Wu, Xiaoyu Zhang, Jing Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16958-16973
COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
Xingang Guo, Fangxu Yu, Huan Zhang, Lianhui Qin, Bin Hu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:16974-17002
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
Zijian Guo, Weichao Zhou, Wenchao Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17003-17019
Diffusion Posterior Sampling is Computationally Intractable
Shivam Gupta, Ajil Jalal, Aditya Parulekar, Eric Price, Zhiyang Xun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17020-17059
xT: Nested Tokenization for Larger Context in Large Images
Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17060-17071
GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
Shivanshu Gupta, Clemens Rosenbaum, Ethan R. Elenberg; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17072-17099
Light and Optimal Schrödinger Bridge Matching
Nikita Gushchin, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17100-17122
Robust Yet Efficient Conformal Prediction Sets
Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17123-17147
Optimally Improving Cooperative Learning in a Social Setting
Shahrzad Haddadan, Cheng Xin, Jie Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17148-17188
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations
Jan Hagnberger, Marimuthu Kalimuthu, Daniel Musekamp, Mathias Niepert; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17189-17223
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
Jaehoon Hahm, Junho Lee, Sunghyun Kim, Joonseok Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17224-17245
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making
Seok-Ju Hahn, Gi-Soo Kim, Junghye Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17246-17278
Incorporating probabilistic domain knowledge into deep multiple instance learning
Ghadi S. Al Hajj, Aliaksandr Hubin, Chakravarthi Kanduri, Milena Pavlovic, Knut Dagestad Rand, Michael Widrich, Anne Schistad Solberg, Victor Greiff, Johan Pensar, Günter Klambauer, Geir Kjetil Sandve; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17279-17297
Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation
Danny Halawi, Alexander Wei, Eric Wallace, Tony Tong Wang, Nika Haghtalab, Jacob Steinhardt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17298-17312
A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle
Nadav Hallak, Kfir Yehuda Levy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17313-17332
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming
Hany Hamed, Subin Kim, Dongyeong Kim, Jaesik Yoon, Sungjin Ahn; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17333-17353
UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs
Xi Han, Fei Hou, Hong Qin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17354-17373
Model Assessment and Selection under Temporal Distribution Shift
Elise Han, Chengpiao Huang, Kaizheng Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17374-17392
Riemannian coordinate descent algorithms on matrix manifolds
Andi Han, Pratik Jawanpuria, Bamdev Mishra; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17393-17415
Prototypical Transformer As Unified Motion Learners
Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail Dianat, Raghuveer Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17416-17436
SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting
Lu Han, Han-Jia Ye, De-Chuan Zhan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17437-17453
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
Sungwon Han, Jinsung Yoon, Sercan O Arik, Tomas Pfister; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17454-17479
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference
Yujin Han, Difan Zou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17480-17504
Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning
Jun-Yi Hang, Min-Ling Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17505-17518
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, Hamid Kazemi, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17519-17537
Interpreting Equivariant Representations
Andreas Abildtrup Hansen, Anna Calissano, Aasa Feragen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17538-17553
Flora: Low-Rank Adapters Are Secretly Gradient Compressors
Yongchang Hao, Yanshuai Cao, Lili Mou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17554-17571
Data-efficient Large Vision Models through Sequential Autoregression
Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17572-17596
MGit: A Model Versioning and Management System
Wei Hao, Daniel Mendoza, Rafael Mendes, Deepak Narayanan, Amar Phanishayee, Asaf Cidon, Junfeng Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17597-17615
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17616-17635
Convergence Guarantees for the DeepWalk Embedding on Block Models
Christopher Harker, Aditya Bhaskara; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17636-17656
Estimating the Permanent by Nesting Importance Sampling
Juha Harviainen, Mikko Koivisto; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17657-17666
Position: $C^*$-Algebraic Machine Learning $-$ Moving in a New Direction
Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17667-17679
Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
Aaron J Havens, Alexandre Araujo, Huan Zhang, Bin Hu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17680-17696
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer
Doron Haviv, Russell Zhang Kunes, Thomas Dougherty, Cassandra Burdziak, Tal Nawy, Anna Gilbert, Dana Pe’Er; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17697-17718
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
Alexander Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Raileanu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17719-17733
Understanding MLP-Mixer as a wide and sparse MLP
Tomohiro Hayase, Ryo Karakida; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17734-17758
MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation
Alexandre Hayderi, Amin Saberi, Ellen Vitercik, Anders Wikum; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17759-17782
LoRA+: Efficient Low Rank Adaptation of Large Models
Soufiane Hayou, Nikhil Ghosh, Bin Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17783-17806
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems
Jianliang He, Siyu Chen, Fengzhuo Zhang, Zhuoran Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17807-17841
Deep Neural Room Acoustics Primitive
Yuhang He, Anoop Cherian, Gordon Wichern, Andrew Markham; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17842-17857
Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Liwei Wang, Jingjing Xu, Zhi Zhang, Hongxia Yang, Di He; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17858-17876
Distributed Bilevel Optimization with Communication Compression
Yutong He, Jie Hu, Xinmeng Huang, Songtao Lu, Bin Wang, Kun Yuan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17877-17920
ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation
Nantian He, Shaohui Li, Zhi Li, Yu Liu, You He; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17921-17933
Domain-wise Data Acquisition to Improve Performance under Distribution Shift
Yue He, Dongbai Li, Pengfei Tian, Han Yu, Jiashuo Liu, Hao Zou, Peng Cui; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17934-17945
Quantum Algorithm for Online Exp-concave Optimization
Jianhao He, Chengchang Liu, Xutong Liu, Lvzhou Li, John C.S. Lui; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17946-17971
Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity
Chang He, Zhaoye Pan, Xiao Wang, Bo Jiang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17972-18009
The Effect of Weight Precision on the Neuron Count in Deep ReLU Networks
Songhua He, Periklis A. Papakonstantinou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18010-18018
Ambiguity-Aware Abductive Learning
Hao-Yuan He, Hui Sun, Zheng Xie, Ming Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18019-18042
Instruction Tuning for Secure Code Generation
Jingxuan He, Mark Vero, Gabriela Krasnopolska, Martin Vechev; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18043-18062
Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning
Zhiyuan He, Yijun Yang, Pin-Yu Chen, Qiang Xu, Tsung-Yi Ho; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18063-18080
SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
Liulu He, Yufei Zhao, Rui Gao, Yuan Du, Li Du; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18081-18093
Robust Multi-Task Learning with Excess Risks
Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18094-18114
DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems
Kaibo He, Chenhui Zuo, Chengtian Ma, Yanan Sui; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18115-18132
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
S Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18133-18154
Differentially Private Sum-Product Networks
Xenia Heilmann, Mattia Cerrato, Ernst Althaus; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18155-18173
Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
Christoph Jürgen Hemmer, Manuel Brenner, Florian Hess, Daniel Durstewitz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18174-18204
Learning Useful Representations of Recurrent Neural Network Weight Matrices
Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18205-18227
Position: Why We Must Rethink Empirical Research in Machine Learning
Moritz Herrmann, F. Julian D. Lange, Katharina Eggensperger, Giuseppe Casalicchio, Marcel Wever, Matthias Feurer, David Rügamer, Eyke Hüllermeier, Anne-Laure Boulesteix, Bernd Bischl; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18228-18247
Randomized Confidence Bounds for Stochastic Partial Monitoring
Maxime Heuillet, Ola Ahmad, Audrey Durand; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18248-18283
Listening to the noise: Blind Denoising with Gibbs Diffusion
David Heurtel-Depeiges, Charles Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18284-18304
Balanced Resonate-and-Fire Neurons
Saya Higuchi, Sebastian Kairat, Sander Bohte, Sebastian Otte; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18305-18323
Understanding Diffusion Models by Feynman’s Path Integral
Yuji Hirono, Akinori Tanaka, Kenji Fukushima; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18324-18351
RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning
Yukinari Hisaki, Isao Ono; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18352-18373
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
Minh Hoang, Azza Fadhel, Aryan Deshwal, Jana Doppa, Trong Nghia Hoang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18374-18393
Estimating Unknown Population Sizes Using the Hypergeometric Distribution
Liam Hodgson, Danilo Bzdok; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18394-18408
Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems
David T Hoffmann, Simon Schrodi, Jelena Bratulić, Nadine Behrmann, Volker Fischer, Thomas Brox; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18409-18438
Position: Is machine learning good or bad for the natural sciences?
David W Hogg, Soledad Villar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18439-18453
Sparse Dimensionality Reduction Revisited
Mikael Møller Høgsgaard, Lior Kamma, Kasper Green Larsen, Jelani Nelson, Chris Schwiegelshohn; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18454-18469
Two Tales of Single-Phase Contrastive Hebbian Learning
Rasmus Høier, Christopher Zach; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18470-18488
Verifying message-passing neural networks via topology-based bounds tightening
Christopher Hojny, Shiqiang Zhang, Juan S Campos, Ruth Misener; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18489-18514
$\bfΦ_\textrmFlow$: Differentiable Simulations for PyTorch, TensorFlow and Jax
Philipp Holl, Nils Thuerey; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18515-18546
Criterion Collapse and Loss Distribution Control
Matthew J. Holland; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18547-18567
Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation
Floris Holstege, Bram Wouters, Noud Van Giersbergen, Cees Diks; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18568-18610
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18611-18633
Enhancing Sufficient Dimension Reduction via Hellinger Correlation
Seungbeom Hong, Ilmun Kim, Jun Song; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18634-18647
Diversified Batch Selection for Training Acceleration
Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor Tsang, Yanfeng Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18648-18667
Model-based Reinforcement Learning for Confounded POMDPs
Mao Hong, Zhengling Qi, Yanxun Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18668-18710
A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs
Kihyuk Hong, Ambuj Tewari; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18711-18737
Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates
Ashish Hooda, Mihai Christodorescu, Miltiadis Allamanis, Aaron Wilson, Kassem Fawaz, Somesh Jha; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18738-18748
Weisfeiler Leman for Euclidean Equivariant Machine Learning
Snir Hordan, Tal Amir, Nadav Dym; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18749-18784
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance
Masanobu Horie, Naoto Mitsume; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18785-18814
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky, Guy Wolf; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18815-18832
Classification Under Strategic Self-Selection
Guy Horowitz, Yonatan Sommer, Moran Koren, Nir Rosenfeld; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18833-18858
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
Samuel Horváth, Stefanos Laskaridis, Shashank Rajput, Hongyi Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18859-18881
Recovering the Pre-Fine-Tuning Weights of Generative Models
Eliahu Horwitz, Jonathan Kahana, Yedid Hoshen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18882-18904
Equilibrium of Data Markets with Externality
Safwan Hossain, Yiling Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18905-18925
A Persuasive Approach to Combating Misinformation
Safwan Hossain, Andjela Mladenovic, Yiling Chen, Gauthier Gidel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18926-18943
Multi-Sender Persuasion: A Computational Perspective
Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18944-18971
Efficient Mixture Learning in Black-Box Variational Inference
Alexandra Hotti, Oskar Kviman, Ricky Molén, Vı́ctor Elvira, Jens Lagergren; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18972-18991
IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency
Linshan Hou, Ruili Feng, Zhongyun Hua, Wei Luo, Leo Yu Zhang, Yiming Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:18992-19022
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19023-19042
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19043-19061
Loss Shaping Constraints for Long-Term Time Series Forecasting
Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19062-19084
Careful with that Scalpel: Improving Gradient Surgery with an EMA
Yu-Guan Hsieh, James Thornton, Eugene Ndiaye, Michal Klein, Marco Cuturi, Pierre Ablin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19085-19100
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns, Chelsea Finn, Jiajun Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19101-19122
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Haozheng Luo, Hong-Yu Chen, Weijian Li, Wei-Po Wang, Han Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19123-19152
Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning
Yusong Hu, De Cheng, Dingwen Zhang, Nannan Wang, Tongliang Liu, Xinbo Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19153-19164
Q-value Regularized Transformer for Offline Reinforcement Learning
Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19165-19181
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19182-19197
An Information Theoretic Approach to Interaction-Grounded Learning
Xiaoyan Hu, Farzan Farnia, Ho-Fung Leung; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19198-19215
Accelerated Speculative Sampling Based on Tree Monte Carlo
Zhengmian Hu, Heng Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19216-19251
SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code
Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A Ross, Cordelia Schmid, Alireza Fathi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19252-19282
InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
Zhengyang Hu, Song Kang, Qunsong Zeng, Kaibin Huang, Yanchao Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19283-19303
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19304-19326
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song, Han Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19327-19343
Improving Interpretation Faithfulness for Vision Transformers
Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19344-19370
Multigroup Robustness
Lunjia Hu, Charlotte Peale, Judy Hanwen Shen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19371-19401
Provable Privacy with Non-Private Pre-Processing
Yaxi Hu, Amartya Sanyal, Bernhard Schölkopf; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19402-19437
Case-Based or Rule-Based: How Do Transformers Do the Math?
Yi Hu, Xiaojuan Tang, Haotong Yang, Muhan Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19438-19474
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Lei Li, Chun Yuan, Dacheng Tao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19475-19490
Bayesian Design Principles for Offline-to-Online Reinforcement Learning
Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19491-19515
High-Performance Temporal Reversible Spiking Neural Networks with $\mathcalO(L)$ Training Memory and $\mathcalO(1)$ Inference Cost
Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19516-19530
Accelerating Transformer Pre-training with 2:4 Sparsity
Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19531-19543
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19544-19572
ReconBoost: Boosting Can Achieve Modality Reconcilement
Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19573-19597
Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization
Feihu Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19598-19621
NeuralIndicator: Implicit Surface Reconstruction from Neural Indicator Priors
Shi-Sheng Huang, Guo Chen, Chen Li Heng, Hua Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19622-19634
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19635-19659
In-context Convergence of Transformers
Yu Huang, Yuan Cheng, Yingbin Liang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19660-19722
Near-Linear Time Approximation Algorithms for k-means with Outliers
Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19723-19756
Contrastive Predict-and-Search for Mixed Integer Linear Programs
Taoan Huang, Aaron M Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19757-19771
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion
Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19772-19797
DiffDA: a Diffusion model for weather-scale Data Assimilation
Langwen Huang, Lukas Gianinazzi, Yuejiang Yu, Peter Dominik Dueben, Torsten Hoefler; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19798-19815
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL
Jiawei Huang, Niao He, Andreas Krause; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19816-19870
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19871-19885
InstructSpeech: Following Speech Editing Instructions via Large Language Models
Rongjie Huang, Ruofan Hu, Yongqi Wang, Zehan Wang, Xize Cheng, Ziyue Jiang, Zhenhui Ye, Dongchao Yang, Luping Liu, Peng Gao, Zhou Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19886-19903
Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models
Ding Huang, Ting Li, Jian Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19904-19928
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios
Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19929-19948
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
Yulong Huang, Xiaopeng Lin, Hongwei Ren, Haotian Fu, Yue Zhou, Zunchang Liu, Biao Pan, Bojun Cheng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19949-19972
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning
Zhuo Huang, Chang Liu, Yinpeng Dong, Hang Su, Shibao Zheng, Tongliang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:19973-20003
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning
Yizhe Huang, Anji Liu, Fanqi Kong, Yaodong Yang, Song-Chun Zhu, Xue Feng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20004-20022
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20023-20042
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series
Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20043-20062
MFTN: A Multi-scale Feature Transfer Network Based on IMatchFormer for Hyperspectral Image Super-Resolution
Shuying Huang, Mingyang Ren, Yong Yang, Xiaozheng Wang, Yingzhi Wei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20063-20072
On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective
Jincheng Huang, Jialie Shen, Xiaoshuang Shi, Xiaofeng Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20073-20095
Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning
Wenke Huang, Zekun Shi, Mang Ye, He Li, Bo Du; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20096-20110
Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Chun-Yin Huang, Kartik Srinivas, Xin Zhang, Xiaoxiao Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20111-20133
Quasi-Monte Carlo Features for Kernel Approximation
Zhen Huang, Jiajin Sun, Yian Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20134-20165
Position: TrustLLM: Trustworthiness in Large Language Models
Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20166-20270
MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
Qian Huang, Jian Vora, Percy Liang, Jure Leskovec; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20271-20309
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
Keke Huang, Yu Guang Wang, Ming Li, Pietro Lio; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20310-20330
Conformal Prediction for Deep Classifier via Label Ranking
Jianguo Huang, Huajun Xi, Linjun Zhang, Huaxiu Yao, Yue Qiu, Hongxin Wei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20331-20347
Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
Zhilin Huang, Ling Yang, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20348-20364
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20365-20381
Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence
Yancheng Huang, Kai Yang, Zelin Zhu, Leian Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20382-20412
An Embodied Generalist Agent in 3D World
Jiangyong Huang, Silong Yong, Xiaojian Ma, Xiongkun Linghu, Puhao Li, Yan Wang, Qing Li, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20413-20451
InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning
Zhe Huang, Xiaowei Yu, Dajiang Zhu, Michael C Hughes; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20452-20473
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge
Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20474-20489
Faster Adaptive Decentralized Learning Algorithms
Feihu Huang, Jianyu Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20490-20525
Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework
Haonan Huang, Guoxu Zhou, Yanghang Zheng, Yuning Qiu, Andong Wang, Qibin Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20526-20558
Faster Sampling via Stochastic Gradient Proximal Sampler
Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20559-20596
Position: Open-Endedness is Essential for Artificial Superhuman Intelligence
Edward Hughes, Michael D Dennis, Jack Parker-Holder, Feryal Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktäschel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20597-20616
Position: The Platonic Representation Hypothesis
Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20617-20642
Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning
Joon Suk Huh, Kirthevasan Kandasamy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20643-20659
Make-A-Shape: a Ten-Million-scale 3D Shape Model
Ka-Hei Hui, Aditya Sanghi, Arianna Rampini, Kamal Rahimi Malekshan, Zhengzhe Liu, Hooman Shayani, Chi-Wing Fu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20660-20681
Residual Quantization with Implicit Neural Codebooks
Iris A.M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud Van Sloun, Jakob Verbeek; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20682-20699
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
Tom Huix, Anna Korba, Alain Oliviero Durmus, Eric Moulines; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20700-20721
Deep Networks Always Grok and Here is Why
Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20722-20745
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20746-20767
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
Md Shamim Hussain, Mohammed J Zaki, Dharmashankar Subramanian; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20768-20792
Vanilla Bayesian Optimization Performs Great in High Dimensions
Carl Hvarfner, Erik Orm Hellsten, Luigi Nardi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20793-20817
On Positivity Condition for Causal Inference
Inwoo Hwang, Yesong Choe, Yeahoon Kwon, Sanghack Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20818-20841
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang, Sanghack Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20842-20870
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
Dongyoon Hwang, Byungkun Lee, Hojoon Lee, Hyunseung Kim, Jaegul Choo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20871-20888
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20889-20907
Smooth Min-Max Monotonic Networks
Christian Igel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20908-20923
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20924-20954
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
Muhammed Emrullah Ildiz, Yixiao Huang, Yingcong Li, Ankit Singh Rawat, Samet Oymak; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20955-20982
Understanding the Learning Dynamics of Alignment with Human Feedback
Shawn Im, Yixuan Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:20983-21006
Zero-Shot Reinforcement Learning via Function Encoders
Tyler Ingebrand, Amy Zhang, Ufuk Topcu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21007-21019
PASOA- PArticle baSed Bayesian Optimal Adaptive design
Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21020-21046
Nesting Particle Filters for Experimental Design in Dynamical Systems
Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21047-21068
PAGER: Accurate Failure Characterization in Deep Regression Models
Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Puja Trivedi, Rushil Anirudh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21069-21082
Online Linear Regression in Dynamic Environments via Discounting
Andrew Jacobsen, Ashok Cutkosky; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21083-21120
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks
Akshay Kumar Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21121-21147
Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
Shomik Jain, Kathleen Creel, Ashia Camage Wilson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21148-21169
Learning to Reach Goals via Diffusion
Vineet Jain, Siamak Ravanbakhsh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21170-21195
R2E: Turning any Github Repository into a Programming Agent Environment
Naman Jain, Manish Shetty, Tianjun Zhang, King Han, Koushik Sen, Ion Stoica; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21196-21224
On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery
Fateme Jamshidi, Luca Ganassali, Negar Kiyavash; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21225-21240
Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD
Jonggyu Jang, Seongjin Hwang, Hyun Jong Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21241-21265
Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration
Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim, Yu Jin Kim, Honglak Lee, Moontae Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21266-21288
Visual Representation Learning with Stochastic Frame Prediction
Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21289-21305
LoRA Training in the NTK Regime has No Spurious Local Minima
Uijeong Jang, Jason D. Lee, Ernest K. Ryu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21306-21328
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21329-21372
Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds
Noémie Jaquier, Leonel Rozo, Miguel González-Duque, Viacheslav Borovitskiy, Tamim Asfour; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21373-21409
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
Adel Javanmard, Matthew Fahrbach, Vahab Mirrokni; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21410-21429
Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery
Yassir Jedra, William Réveillard, Stefan Stojanovic, Alexandre Proutiere; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21430-21485
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
Kishaan Jeeveswaran, Elahe Arani, Bahram Zonooz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21486-21501
Repeat After Me: Transformers are Better than State Space Models at Copying
Samy Jelassi, David Brandfonbrener, Sham M. Kakade, Eran Malach; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21502-21521
An Information-Theoretic Analysis of In-Context Learning
Hong Jun Jeon, Jason D. Lee, Qi Lei, Benjamin Van Roy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21522-21554
Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD Simulation
Loh Sher En Jessica, Naheed Anjum Arafat, Wei Xian Lim, Wai Lee Chan, Adams Wai-Kin Kong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21555-21576
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages
Andrew Jesson, Chris Lu, Gunshi Gupta, Nicolas Beltran-Velez, Angelos Filos, Jakob Nicolaus Foerster, Yarin Gal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21577-21605
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
Jie Ji, Gen Li, Lu Yin, Minghai Qin, Geng Yuan, Linke Guo, Shiwei Liu, Xiaolong Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21606-21619
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21620-21647
Towards Efficient Exact Optimization of Language Model Alignment
Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21648-21671
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
Tianying Ji, Yu Luo, Fuchun Sun, Xianyuan Zhan, Jianwei Zhang, Huazhe Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21672-21718
Discrete Latent Perspective Learning for Segmentation and Detection
Deyi Ji, Feng Zhao, Lanyun Zhu, Wenwei Jin, Hongtao Lu, Jieping Ye; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21719-21730
Simulation-Based Inference with Quantile Regression
He Jia; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21731-21752
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21753-21767
Chain-of-Thought Predictive Control
Zhiwei Jia, Vineet Thumuluri, Fangchen Liu, Linghao Chen, Zhiao Huang, Hao Su; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21768-21790
Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
Zhao Jiale, Wanru Zhuang, Jia Song, Yaqi Li, Shuqi Lu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21791-21805
NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks
Haiyan Jiang, Giulia De Masi, Huan Xiong, Bin Gu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21806-21823
Conditional Common Entropy for Instrumental Variable Testing and Partial Identification
Ziwei Jiang, Murat Kocaoglu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21824-21843
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data
Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21844-21878
On the Origins of Linear Representations in Large Language Models
Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam, Victor Veitch; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21879-21911
Federated Optimization with Doubly Regularized Drift Correction
Xiaowen Jiang, Anton Rodomanov, Sebastian U Stich; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21912-21945
HexGen: Generative Inference of Large Language Model over Heterogeneous Environment
Youhe Jiang, Ran Yan, Xiaozhe Yao, Yang Zhou, Beidi Chen, Binhang Yuan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21946-21961
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
Wei Jiang, Sifan Yang, Wenhao Yang, Yibo Wang, Yuanyu Wan, Lijun Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21962-21987
Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:21988-22009
Generalized Neural Collapse for a Large Number of Classes
Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu, Dustin G. Mixon, Chong You, Zhihui Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22010-22041
SuDA: Support-based Domain Adaptation for Sim2Real Hinge Joint Tracking with Flexible Sensors
Fang Jiawei, Haishan Song, Chengxu Zuo, Xiaoxia Gao, Xiaowei Chen, Shihui Guo, Yipeng Qin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22042-22061
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22062-22074
Homomorphism Counts for Graph Neural Networks: All About That Basis
Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22075-22098
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22099-22114
On the Maximal Local Disparity of Fairness-Aware Classifiers
Jinqiu Jin, Haoxuan Li, Fuli Feng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22115-22144
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
Xisen Jin, Xiang Ren; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22145-22159
Emergent Representations of Program Semantics in Language Models Trained on Programs
Charles Jin, Martin Rinard; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22160-22184
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization
Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yang Song, Kun Gai, Yadong Mu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22185-22209
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Alexander Teare; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22210-22243
Language Models as Semantic Indexers
Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22244-22259
Position: What Can Large Language Models Tell Us about Time Series Analysis
Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22260-22276
AlphaFold Meets Flow Matching for Generating Protein Ensembles
Bowen Jing, Bonnie Berger, Tommi Jaakkola; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22277-22303
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
Shusen Jing, Anlan Yu, Shuai Zhang, Songyang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22304-22325
Model-Based Minimum Bayes Risk Decoding for Text Generation
Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22326-22347
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
Jaehyeong Jo, Sung Ju Hwang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22348-22370
Graph Generation with Diffusion Mixture
Jaehyeong Jo, Dongki Kim, Sung Ju Hwang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22371-22405
Experts Don’t Cheat: Learning What You Don’t Know By Predicting Pairs
Daniel D. Johnson, Daniel Tarlow, David Duvenaud, Chris J. Maddison; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22406-22464
Learning to Infer Generative Template Programs for Visual Concepts
R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22465-22490
Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
Arvi Jonnarth, Jie Zhao, Michael Felsberg; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22491-22508
IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation
Taejong Joo, Diego Klabjan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22509-22529
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
Mikkel Jordahn, Pablo M. Olmos; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22530-22550
Position: Benchmarking is Limited in Reinforcement Learning Research
Scott M. Jordan, Adam White, Bruno Castro Da Silva, Martha White, Philip S. Thomas; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22551-22569
Watermark Stealing in Large Language Models
Nikola Jovanović, Robin Staab, Martin Vechev; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22570-22593
Hypergraph-enhanced Dual Semi-supervised Graph Classification
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22594-22604
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Eric Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiangyang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22605-22623
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
Mira Juergens, Nis Meinert, Viktor Bengs, Eyke Hüllermeier, Willem Waegeman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22624-22642
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
Kwang-Sung Jun, Jungtaek Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22643-22671
Unsupervised Episode Generation for Graph Meta-learning
Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22672-22695
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency
Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim, Eunho Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22696-22709
Leveraging VLM-Based Pipelines to Annotate 3D Objects
Rishabh Kabra, Loic Matthey, Alexander Lerchner, Niloy Mitra; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22710-22747
PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels
Praneeth Kacham, Vahab Mirrokni, Peilin Zhong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22748-22770
Surprisingly Strong Performance Prediction with Neural Graph Features
Gabriela Kadlecová, Jovita Lukasik, Martin Pilát, Petra Vidnerová, Mahmoud Safari, Roman Neruda, Frank Hutter; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22771-22816
EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
Dachun Kai, Jiayao Lu, Yueyi Zhang, Xiaoyan Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22817-22839
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy
Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22840-22860
Replicable Learning of Large-Margin Halfspaces
Alkis Kalavasis, Amin Karbasi, Kasper Green Larsen, Grigoris Velegkas, Felix Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22861-22878
Tell, Don’t Show: Language Guidance Eases Transfer Across Domains in Images and Videos
Tarun Kalluri, Bodhisattwa Prasad Majumder, Manmohan Chandraker; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22879-22894
Position: LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks
Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Mudit Verma, Kaya Stechly, Siddhant Bhambri, Lucas Paul Saldyt, Anil B Murthy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22895-22907
A Geometric Explanation of the Likelihood OOD Detection Paradox
Hamidreza Kamkari, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini, Rahul Krishnan, Gabriel Loaiza-Ganem; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22908-22935
Learning Decision Trees and Forests with Algorithmic Recourse
Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22936-22962
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22963-23000
Think Before You Act: Decision Transformers with Working Memory
Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23001-23021
Certifiably Byzantine-Robust Federated Conformal Prediction
Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23022-23057
Neural Tangent Kernels for Axis-Aligned Tree Ensembles
Ryuichi Kanoh, Mahito Sugiyama; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23058-23081
Position: On the Societal Impact of Open Foundation Models
Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23082-23104
Adaptive Robust Learning using Latent Bernoulli Variables
Aleksandr Karakulev, Dave Zachariah, Prashant Singh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23105-23122
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna, Percy Liang, Thomas Kollar, Dorsa Sadigh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23123-23144
On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning
Ari Karchmer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23145-23158
On the Generalization of Equivariant Graph Neural Networks
Rafal Karczewski, Amauri H Souza, Vikas Garg; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23159-23186
Infinite-Horizon Distributionally Robust Regret-Optimal Control
Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23187-23214
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
Amir Mohammad Karimi Mamaghan, Panagiotis Tigas, Karl Henrik Johansson, Yarin Gal, Yashas Annadani, Stefan Bauer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23215-23237
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions
Sanjay Kariyappa, Freddy Lecue, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23238-23255
Position: Embracing Negative Results in Machine Learning
Florian Karl, Malte Kemeter, Gabriel Dax, Paulina Sierak; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23256-23265
Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks
Arjun Karuvally, Terrence Sejnowski, Hava T Siegelmann; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23266-23290
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
Masahiro Kato, Akihiro Oga, Wataru Komatsubara, Ryo Inokuchi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23291-23323
First-Order Manifold Data Augmentation for Regression Learning
Ilya Kaufman, Omri Azencot; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23324-23342
Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance
Chiraag Kaushik, Ran Liu, Chi-Heng Lin, Amrit Khera, Matthew Y Jin, Wenrui Ma, Vidya Muthukumar, Eva L Dyer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23343-23366
Pluvial Flood Emulation with Hydraulics-informed Message Passing
Arnold Kazadi, James Doss-Gollin, Arlei Lopes Da Silva; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23367-23390
Accelerating Convergence in Bayesian Few-Shot Classification
Tianjun Ke, Haoqun Cao, Feng Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23391-23406
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
Zhifa Ke, Zaiwen Wen, Junyu Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23407-23429
DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
Zhaoru Ke, Hang Yu, Jianguo Li, Haipeng Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23430-23448
Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models
Akhil Kedia, Mohd Abbas Zaidi, Sushil Khyalia, Jungho Jung, Harshith Goka, Haejun Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23449-23531
A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles
Phillip Kerger, Marco Molinaro, Hongyi Jiang, Amitabh Basu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23532-23546
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach
Vijay Keswani, Anay Mehrotra, L. Elisa Celis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23547-23576
Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks
Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23577-23621
Tuning-Free Stochastic Optimization
Ahmed Khaled, Chi Jin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23622-23661
Debating with More Persuasive LLMs Leads to More Truthful Answers
Akbir Khan, John Hughes, Dan Valentine, Laura Ruis, Kshitij Sachan, Ansh Radhakrishnan, Edward Grefenstette, Samuel R. Bowman, Tim Rocktäschel, Ethan Perez; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23662-23733
Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness
Samir Khan, Martin Saveski, Johan Ugander; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23734-23757
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23758-23780
Can Machines Learn the True Probabilities?
Jinsook Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23781-23804
Gaussian Plane-Wave Neural Operator for Electron Density Estimation
Seongsu Kim, Sungsoo Ahn; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23805-23824
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
Jinuk Kim, Marwa El Halabi, Mingi Ji, Hyun Oh Song; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23825-23842
CARTE: Pretraining and Transfer for Tabular Learning
Myung Jun Kim, Leo Grinsztajn, Gael Varoquaux; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23843-23866
Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning
Do-Yeon Kim, Dong-Jun Han, Jun Seo, Jaekyun Moon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23867-23900
SqueezeLLM: Dense-and-Sparse Quantization
Sehoon Kim, Coleman Richard Charles Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23901-23923
Active Label Correction for Semantic Segmentation with Foundation Models
Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23924-23940
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23941-23971
Hybrid Neural Representations for Spherical Data
Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23972-23985
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
Mingyu Kim, Kim Jun-Seong, Se-Young Yun, Jin-Hwa Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23986-24014
Learning to Explore for Stochastic Gradient MCMC
Seunghyun Kim, Seohyeon Jung, Seonghyeon Kim, Juho Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24015-24039
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24040-24058
Double-Step Alternating Extragradient with Increasing Timescale Separation for Finding Local Minimax Points: Provable Improvements
Kyuwon Kim, Donghwan Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24059-24093
Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency
Hyeongjin Kim, Sangwon Kim, Dasom Ahn, Jong Taek Lee, Byoung Chul Ko; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24094-24109
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24110-24136
Clustered Federated Learning via Gradient-based Partitioning
Heasung Kim, Hyeji Kim, Gustavo De Veciana; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24137-24193
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
Hyunsu Kim, Yegon Kim, Hongseok Yang, Juho Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24194-24209
Demystifying SGD with Doubly Stochastic Gradients
Kyurae Kim, Joohwan Ko, Yian Ma, Jacob R. Gardner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24210-24247
Learning to Scale Logits for Temperature-Conditional GFlowNets
Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woo Chang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24248-24270
Attribute Based Interpretable Evaluation Metrics for Generative Models
Dongkyun Kim, Mingi Kwon, Youngjung Uh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24271-24293
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
Donghu Kim, Hojoon Lee, Kyungmin Lee, Dongyoon Hwang, Jaegul Choo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24294-24326
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
Jongsuk Kim, Hyeongkeun Lee, Kyeongha Rho, Junmo Kim, Joon Son Chung; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24327-24341
Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training
Yechan Kim, Hwijoon Lim, Dongsu Han; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24342-24353
Risk-Sensitive Policy Optimization via Predictive CVaR Policy Gradient
Ju-Hyun Kim, Seungki Min; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24354-24369
An LLM Compiler for Parallel Function Calling
Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24370-24391
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24392-24414
Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
Dongkwan Kim, Alice Oh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24415-24436
Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption
Jae-Yun Kim, Saerom Park, Joohee Lee, Jung Hee Cheon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24437-24457
Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time
Sungyoon Kim, Mert Pilanci; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24458-24485
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval
Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24486-24508
Polynomial-based Self-Attention for Table Representation Learning
Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24509-24526
Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
Juno Kim, Taiji Suzuki; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24527-24561
Discovering Features with Synergistic Interactions in Multiple Views
Chohee Kim, Mihaela Van Der Schaar, Changhee Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24562-24583
An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
Taeyoung Kim, Hongseok Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24584-24657
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24658-24673
Do Topological Characteristics Help in Knowledge Distillation?
Jungeun Kim, Junwon You, Dongjin Lee, Ha Young Kim, Jae-Hun Jung; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24674-24693
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback
Kihyun Kim, Jiawei Zhang, Asuman E. Ozdaglar, Pablo Parrilo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24694-24712
The Merit of River Network Topology for Neural Flood Forecasting
Nikolas Kirschstein, Yixuan Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24713-24725
From Neurons to Neutrons: A Case Study in Interpretability
Ouail Kitouni, Niklas Nolte, Vı́ctor Samuel Pérez-Dı́az, Sokratis Trifinopoulos, Mike Williams; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24726-24748
Conformal Prediction with Learned Features
Shayan Kiyani, George J. Pappas, Hamed Hassani; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24749-24769
Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
Leo Klarner, Tim G. J. Rudner, Garrett M Morris, Charlotte Deane, Yee Whye Teh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24770-24807
Environment Design for Inverse Reinforcement Learning
Thomas Kleine Buening, Victor Villin, Christos Dimitrakakis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24808-24828
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
Ching-Yun Ko, Pin-Yu Chen, Payel Das, Jeet Mohapatra, Luca Daniel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24829-24858
Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes
Hyunouk Ko, Xiaoming Huo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24859-24871
DistiLLM: Towards Streamlined Distillation for Large Language Models
Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24872-24895
Provably Scalable Black-Box Variational Inference with Structured Variational Families
Joohwan Ko, Kyurae Kim, Woo Chang Kim, Jacob R. Gardner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24896-24931
Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis
Juyeon Ko, Inho Kong, Dogyun Park, Hyunwoo J. Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24932-24963
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
Kevin Kögler, Aleksandr Shevchenko, Hamed Hassani, Marco Mondelli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:24964-25015
Estimating Barycenters of Distributions with Neural Optimal Transport
Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25016-25041
AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion
Adeesh Kolluru, John R. Kitchin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25042-25057
On Convergence of Incremental Gradient for Non-convex Smooth Functions
Anastasia Koloskova, Nikita Doikov, Sebastian U Stich, Martin Jaggi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25058-25086
Logistic Variational Bayes Revisited
Michael Komodromos, Marina Evangelou, Sarah Lucie Filippi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25087-25104
VideoPoet: A Large Language Model for Zero-Shot Video Generation
Dan Kondratyuk, Lijun Yu, Xiuye Gu, Jose Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A Ross, Bryan Seybold, Lu Jiang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25105-25124
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities
Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25125-25148
Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning
Xiangzhe Kong, Wenbing Huang, Yang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25149-25175
ELF: Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis
Jungil Kong, Junmo Lee, Jeongmin Kim, Beomjeong Kim, Jihoon Park, Dohee Kong, Changheon Lee, Sangjin Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25176-25190
The Computational Complexity of Finding Second-Order Stationary Points
Andreas Kontogiannis, Vasilis Pollatos, Sotiris Kanellopoulos, Panayotis Mertikopoulos, Aris Pagourtzis, Ioannis Panageas; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25191-25225
Information-Directed Pessimism for Offline Reinforcement Learning
Alec Koppel, Sujay Bhatt, Jiacheng Guo, Joe Eappen, Mengdi Wang, Sumitra Ganesh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25226-25264
Understanding and Diagnosing Deep Reinforcement Learning
Ezgi Korkmaz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25265-25275
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
Panagiotis Koromilas, Giorgos Bouritsas, Theodoros Giannakopoulos, Mihalis Nicolaou, Yannis Panagakis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25276-25301
convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data
Roman Koshkin, Tomoki Fukai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25302-25312
Privacy Profiles for Private Selection
Antti Koskela, Rachel Emily Redberg, Yu-Xiang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25313-25332
Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
Atli Kosson, Bettina Messmer, Martin Jaggi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25333-25369
Consistent Long-Term Forecasting of Ergodic Dynamical Systems
Vladimir R Kostic, Karim Lounici, Prune Inzerilli, Pietro Novelli, Massimiliano Pontil; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25370-25395
A General Online Algorithm for Optimizing Complex Performance Metrics
Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25396-25425
CLLMs: Consistency Large Language Models
Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25426-25440
KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations
Longxin Kou, Fei Ni, Yan Zheng, Jinyi Liu, Yifu Yuan, Zibin Dong, Jianye Hao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25441-25474
PcLast: Discovering Plannable Continuous Latent States
Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan P Molu, Miroslav Dudı́k, John Langford, Alex Lamb; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25475-25493
Sobolev Space Regularised Pre Density Models
Mark Kozdoba, Binyamin Perets, Shie Mannor; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25494-25533
Implicit meta-learning may lead language models to trust more reliable sources
Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Kacper Mlodozeniec, Tegan Maharaj, David Krueger; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25534-25559
Geometry-Aware Instrumental Variable Regression
Heiner Kremer, Bernhard Schölkopf; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25560-25582
Understanding the Effects of Iterative Prompting on Truthfulness
Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25583-25602
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
Agustinus Kristiadi, Felix Strieth-Kalthoff, Marta Skreta, Pascal Poupart, Alan Aspuru-Guzik, Geoff Pleiss; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25603-25622
Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph
Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25623-25641
Mean Estimation in the Add-Remove Model of Differential Privacy
Alex Kulesza, Ananda Theertha Suresh, Yuyan Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25642-25661
No Free Prune: Information-Theoretic Barriers to Pruning at Initialization
Tanishq Kumar, Kevin Luo, Mark Sellke; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25662-25681
Efficient Value Iteration for s-rectangular Robust Markov Decision Processes
Navdeep Kumar, Kaixin Wang, Kfir Yehuda Levy, Shie Mannor; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25682-25725
Minimum Norm Interpolation Meets The Local Theory of Banach Spaces
Gil Kur, Pedro Abdalla, Pierre Bizeul, Fanny Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25726-25754
Prospective Side Information for Latent MDPs
Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25755-25783
On The Complexity of First-Order Methods in Stochastic Bilevel Optimization
Jeongyeol Kwon, Dohyun Kwon, Hanbaek Lyu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25784-25811
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
Young D. Kwon, Rui Li, Stylianos Venieris, Jagmohan Chauhan, Nicholas Donald Lane, Cecilia Mascolo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25812-25843
Dynamic Spectral Clustering with Provable Approximation Guarantee
Steinar Laenen, He Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25844-25870
Collective Certified Robustness against Graph Injection Attacks
Yuni Lai, Bailin Pan, Kaihuang Chen, Yancheng Yuan, Kai Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25871-25891
Position: Evolving AI Collectives Enhance Human Diversity and Enable Self-Regulation
Shiyang Lai, Yujin Potter, Junsol Kim, Richard Zhuang, Dawn Song, James Evans; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25892-25912
Invariant Risk Minimization Is A Total Variation Model
Zhao-Rong Lai, Weiwen Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25913-25935
Privately Learning Smooth Distributions on the Hypercube by Projections
Clément Lalanne, Sébastien Gadat; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25936-25975
A Neural-Preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions
Kai Weixian Lan, Elias Gueidon, Ayano Kaneda, Julian Panetta, Joseph Teran; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25976-25994
Sub-token ViT Embedding via Stochastic Resonance Transformers
Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:25995-26006
Single-Model Attribution of Generative Models Through Final-Layer Inversion
Mike Laszkiewicz, Jonas Ricker, Johannes Lederer, Asja Fischer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26007-26042
Towards Understanding Inductive Bias in Transformers: A View From Infinity
Itay Lavie, Guy Gur-Ari, Zohar Ringel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26043-26069
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mido Assran, Andrew Gordon Wilson, Aaron Courville, Nicolas Ballas; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26070-26084
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms
Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26085-26151
Generalized Sobolev Transport for Probability Measures on a Graph
Tam Le, Truyen Nguyen, Kenji Fukumizu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26152-26174
Robust Inverse Graphics via Probabilistic Inference
Tuan Anh Le, Pavel Sountsov, Matthew Douglas Hoffman, Ben Lee, Brian Patton, Rif A. Saurous; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26175-26198
Knowledge Graphs Can be Learned with Just Intersection Features
Duy Le, Shaochen Zhong, Zirui Liu, Shuai Xu, Vipin Chaudhary, Kaixiong Zhou, Zhaozhuo Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26199-26214
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Kevin Scaman, Giovanni Neglia; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26215-26240
Run-Time Task Composition with Safety Semantics
Kevin Leahy, Makai Mann, Zachary Serlin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26241-26258
Chasing Convex Functions with Long-term Constraints
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant Shenoy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26259-26289
Generalization Analysis of Deep Non-linear Matrix Completion
Antoine Ledent, Rodrigo Alves; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26290-26360
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26361-26378
Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation
Jae-Hong Lee, Joon-Hyuk Chang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26379-26395
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, Ian Fischer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26396-26415
Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
Hojoon Lee, Hyeonseo Cho, Hyunseung Kim, Donghu Kim, Dugki Min, Jaegul Choo, Clare Lyle; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26416-26438
Fundamental Benefit of Alternating Updates in Minimax Optimization
Jaewook Lee, Hanseul Cho, Chulhee Yun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26439-26514
DataFreeShield: Defending Adversarial Attacks without Training Data
Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26515-26545
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching
Yongmin Lee, Hye Won Chung; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26546-26567
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
Royson Lee, Javier Fernandez-Marques, Shell Xu Hu, Da Li, Stefanos Laskaridis, Łukasz Dudziak, Timothy Hospedales, Ferenc Huszár, Nicholas Donald Lane; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26568-26588
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
Jaejun Lee, Minsung Hwang, Joyce Jiyoung Whang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26589-26620
Learning to Continually Learn with the Bayesian Principle
Soochan Lee, Hyeonseong Jeon, Jaehyeon Son, Gunhee Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26621-26639
Graph Neural Networks with a Distribution of Parametrized Graphs
See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26640-26660
Pausing Policy Learning in Non-stationary Reinforcement Learning
Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26661-26685
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26686-26714
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim, Seungeon Kim, Dokwan Oh, Jaeho Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26715-26730
Drug Discovery with Dynamic Goal-aware Fragments
Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26731-26751
Supervised Matrix Factorization: Local Landscape Analysis and Applications
Joowon Lee, Hanbaek Lyu, Weixin Yao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26752-26788
Defining Neural Network Architecture through Polytope Structures of Datasets
Sangmin Lee, Abbas Mammadov, Jong Chul Ye; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26789-26836
Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning
Jin Hwa Lee, Stefano Sarao Mannelli, Andrew M Saxe; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26837-26855
3D Geometric Shape Assembly via Efficient Point Cloud Matching
Nahyuk Lee, Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26856-26873
RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Harrison Lee, Samrat Phatale, Hassan Mansoor, Thomas Mesnard, Johan Ferret, Kellie Ren Lu, Colton Bishop, Ethan Hall, Victor Carbune, Abhinav Rastogi, Sushant Prakash; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26874-26901
StrWAEs to Invariant Representations
Hyunjong Lee, Yedarm Seong, Sungdong Lee, Joong-Ho Won; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26902-26928
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
Kyungeun Lee, Ye Seul Sim, Hyeseung Cho, Moonjung Eo, Suhee Yoon, Sanghyu Yoon, Woohyung Lim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26929-26947
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
Deokjae Lee, Hyun Oh Song, Kyunghyun Cho; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26948-26975
Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space
Minji Lee, Luiz Felipe Vecchietti, Hyunkyu Jung, Hyun Joo Ro, Meeyoung Cha, Ho Min Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26976-26990
Behavior Generation with Latent Actions
Seungjae Lee, Yibin Wang, Haritheja Etukuru, H. Jin Kim, Nur Muhammad Mahi Shafiullah, Lerrel Pinto; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26991-27008
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
Joonho Lee, Jae Oh Woo, Juree Seok, Parisa Hassanzadeh, Wooseok Jang, Juyoun Son, Sima Didari, Baruch Gutow, Heng Hao, Hankyu Moon, Wenjun Hu, Yeong-Dae Kwon, Taehee Lee, Seungjai Min; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27009-27036
Rethinking the Flat Minima Searching in Federated Learning
Taehwan Lee, Sung Whan Yoon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27037-27071
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation
Daeun Lee, Jaehong Yoon, Sung Ju Hwang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27072-27093
STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment
Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27094-27117
Sign Rank Limitations for Inner Product Graph Decoders
Su Hyeong Lee, Qingqi Zhang, Risi Kondor; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27118-27136
A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights
Davide Legacci, Panayotis Mertikopoulos, Bary Pradelski; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27137-27173
Langevin Policy for Safe Reinforcement Learning
Fenghao Lei, Long Yang, Shiting Wen, Zhixiong Huang, Zhiwang Zhang, Chaoyi Pang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27174-27190
Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
Rémi Leluc, Aymeric Dieuleveut, François Portier, Johan Segers, Aigerim Zhuman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27191-27214
An Independence-promoting Loss for Music Generation with Language Models
Jean-Marie Lemercier, Simon Rouard, Jade Copet, Yossi Adi, Alexandre Défossez; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27215-27229
Improving Gradient-Guided Nested Sampling for Posterior Inference
Pablo Lemos, Nikolay Malkin, Will Handley, Yoshua Bengio, Yashar Hezaveh, Laurence Perreault-Levasseur; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27230-27253
Winner-takes-all learners are geometry-aware conditional density estimators
Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Perez; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27254-27287
Online Isolation Forest
Filippo Leveni, Guilherme Weigert Cassales, Bernhard Pfahringer, Albert Bifet, Giacomo Boracchi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27288-27298
Cell2Sentence: Teaching Large Language Models the Language of Biology
Daniel Levine, Syed A Rizvi, Sacha Lévy, Nazreen Pallikkavaliyaveetil, David Zhang, Xingyu Chen, Sina Ghadermarzi, Ruiming Wu, Zihe Zheng, Ivan Vrkic, Anna Zhong, Daphne Raskin, Insu Han, Antonio Henrique De Oliveira Fonseca, Josue Ortega Caro, Amin Karbasi, Rahul Madhav Dhodapkar, David Van Dijk; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27299-27325
Eluder-based Regret for Stochastic Contextual MDPs
Orin Levy, Asaf Cassel, Alon Cohen, Yishay Mansour; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27326-27350
Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models
Francesca-Zhoufan Li, Ava P Amini, Yisong Yue, Kevin K Yang, Alex Xijie Lu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27351-27375
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
Yuchen Li, Laura Balzano, Deanna Needell, Hanbaek Lyu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27376-27398
DetKDS: Knowledge Distillation Search for Object Detectors
Lujun Li, Yufan Bao, Peijie Dong, Chuanguang Yang, Anggeng Li, Wenhan Luo, Qifeng Liu, Wei Xue, Yike Guo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27399-27416
Denoising Autoregressive Representation Learning
Yazhe Li, Jorg Bornschein, Ting Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27417-27438
Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation
Boheng Li, Yishuo Cai, Jisong Cai, Yiming Li, Han Qiu, Run Wang, Tianwei Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27439-27456
Improving Neural Logic Machines via Failure Reflection
Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27457-27473
Critical windows: non-asymptotic theory for feature emergence in diffusion models
Marvin Li, Sitan Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27474-27498
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
Yuke Li, Guangyi Chen, Ben Abramowitz, Stefano Anzellotti, Donglai Wei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27499-27514
GiLOT: Interpreting Generative Language Models via Optimal Transport
Xuhong Li, Jiamin Chen, Yekun Chai, Haoyi Xiong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27515-27530
Completing Visual Objects via Bridging Generation and Segmentation
Xiang Li, Yinpeng Chen, Chung-Ching Lin, Hao Chen, Kai Hu, Rita Singh, Bhiksha Raj, Lijuan Wang, Zicheng Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27531-27546
Evolving Subnetwork Training for Large Language Models
Hanqi Li, Lu Chen, Da Ma, Zijian Wu, Su Zhu, Kai Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27547-27562
Data Poisoning Attacks against Conformal Prediction
Yangyi Li, Aobo Chen, Wei Qian, Chenxu Zhao, Divya Lidder, Mengdi Huai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27563-27574
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking
Wenshuo Li, Xinghao Chen, Han Shu, Yehui Tang, Yunhe Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27575-27588
Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints
Yuantong Li, Guang Cheng, Xiaowu Dai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27589-27614
Full-Atom Peptide Design based on Multi-modal Flow Matching
Jiahan Li, Chaoran Cheng, Zuofan Wu, Ruihan Guo, Shitong Luo, Zhizhou Ren, Jian Peng, Jianzhu Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27615-27640
Positive and Unlabeled Learning with Controlled Probability Boundary Fence
Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li, Bing Wang, Jihong Ouyang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27641-27652
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
Wenzhe Li, Zihan Ding, Seth Karten, Chi Jin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27653-27674
Debiased Distribution Compression
Lingxiao Li, Raaz Dwivedi, Lester Mackey; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27675-27731
Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning
Wei Li, Hehe Fan, Yongkang Wong, Yi Yang, Mohan Kankanhalli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27732-27751
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
Boning Li, Zhixuan Fang, Longbo Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27752-27770
Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection
Yuxin Li, Yaoxuan Feng, Bo Chen, Wenchao Chen, Yubiao Wang, Xinyue Hu, Baolin Sun, Chunhui Qu, Mingyuan Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27771-27790
Automated Statistical Model Discovery with Language Models
Michael Y. Li, Emily Fox, Noah Goodman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27791-27807
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
Xudong Li, Timin Gao, Runze Hu, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Rongrong Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27808-27821
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning
Jiachen Li, Qiaozi Gao, Michael Johnston, Xiaofeng Gao, Xuehai He, Hangjie Shi, Suhaila Shakiah, Reza Ghanadan, William Yang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27822-27845
Graph Structure Extrapolation for Out-of-Distribution Generalization
Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27846-27874
Value-Evolutionary-Based Reinforcement Learning
Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27875-27889
Image Clustering with External Guidance
Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27890-27902
VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context
Yunxin Li, Baotian Hu, Haoyuan Shi, Wei Wang, Longyue Wang, Min Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27903-27919
Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment
Xudong Li, Runze Hu, Jingyuan Zheng, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Ke Li, Yunhang Shen, Yutao Liu, Pingyang Dai, Rongrong Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27920-27941
Accelerating Convergence of Score-Based Diffusion Models, Provably
Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27942-27954
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
Kenneth Li, Samy Jelassi, Hugh Zhang, Sham M. Kakade, Martin Wattenberg, David Brandfonbrener; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27955-27968
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
Yuchen Li, Alexandre Kirchmeyer, Aashay Mehta, Yilong Qin, Boris Dadachev, Kishore Papineni, Sanjiv Kumar, Andrej Risteski; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:27969-28017
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
Jinhao Li, Haopeng Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28018-28039
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28040-28059
Neural Collapse in Multi-label Learning with Pick-all-label Loss
Pengyu Li, Xiao Li, Yutong Wang, Qing Qu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28060-28094
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
Chengrui Li, Weihan Li, Yule Wang, Anqi Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28095-28111
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
Weihan Li, Chengrui Li, Yule Wang, Anqi Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28112-28131
A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
Baohong Li, Haoxuan Li, Anpeng Wu, Minqin Zhu, Shiyuan Peng, Qingyu Cao, Kun Kuang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28132-28145
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
Baohong Li, Haoxuan Li, Ruoxuan Xiong, Anpeng Wu, Fei Wu, Kun Kuang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28146-28163
Configurable Mirror Descent: Towards a Unification of Decision Making
Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28164-28203
Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
Lan Li, Xin-Chun Li, Han-Jia Ye, De-Chuan Zhan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28204-28221
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data
Wenqiang Li, Weijun Li, Lina Yu, Min Wu, Linjun Sun, Jingyi Liu, Yanjie Li, Shu Wei, Deng Yusong, Meilan Hao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28222-28242
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation
Yunheng Li, Zhong-Yu Li, Quan-Sheng Zeng, Qibin Hou, Ming-Ming Cheng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28243-28258
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28259-28277
Preventing Model Collapse in Gaussian Process Latent Variable Models
Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28278-28308
A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks
Boqi Li, Weiwei Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28309-28342
Concentration Inequalities for General Functions of Heavy-Tailed Random Variables
Shaojie Li, Yong Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28343-28367
Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once
Zhangheng Li, Shiwei Liu, Tianlong Chen, Ajay Kumar Jaiswal, Zhenyu Zhang, Dilin Wang, Raghuraman Krishnamoorthi, Shiyu Chang, Zhangyang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28368-28386
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
Xinran Li, Zifan Liu, Shibo Chen, Jun Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28387-28402
Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
Yongxin Li, Mengyuan Liu, You Wu, Xucheng Wang, Xiangyang Yang, Shuiwang Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28403-28420
PID: Prompt-Independent Data Protection Against Latent Diffusion Models
Ang Li, Yichuan Mo, Mingjie Li, Yisen Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28421-28447
A Contextual Combinatorial Bandit Approach to Negotiation
Yexin Li, Zhancun Mu, Siyuan Qi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28448-28465
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining
Aaron Jiaxun Li, Robin Netzorg, Zhihan Cheng, Zhuoqin Zhang, Bin Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28466-28479
Evaluating Quantized Large Language Models
Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28480-28524
The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning
Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew Bo Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Ariel Herbert-Voss, Cort B Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Lin, Adam Alfred Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Ian Steneker, David Campbell, Brad Jokubaitis, Steven Basart, Stephen Fitz, Ponnurangam Kumaraguru, Kallol Krishna Karmakar, Uday Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28525-28550
Graph Neural Network Explanations are Fragile
Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28551-28567
When Do Skills Help Reinforcement Learning? A Theoretical Analysis of Temporal Abstractions
Zhening Li, Gabriel Poesia, Armando Solar-Lezama; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28568-28596
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28597-28609
Privacy Preserving Adaptive Experiment Design
Jiachun Li, Kaining Shi, David Simchi-Levi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28610-28629
Combining Experimental and Historical Data for Policy Evaluation
Ting Li, Chengchun Shi, Qianglin Wen, Yang Sui, Yongli Qin, Chunbo Lai, Hongtu Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28630-28656
LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models
Guangyan Li, Yongqiang Tang, Wensheng Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28657-28672
DiffFPR: Diffusion Prior for Oversampled Fourier Phase Retrieval
Ji Li, Chao Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28673-28687
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
Depeng Li, Tianqi Wang, Junwei Chen, Wei Dai, Zhigang Zeng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28688-28705
Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
Zhihao Li, Yufei Wang, Alex Kot, Bihan Wen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28706-28716
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling
Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28717-28733
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28734-28783
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28784-28829
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
Lin Li, Yifei Wang, Chawin Sitawarin, Michael W. Spratling; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28830-28869
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
Bo Li, Wei Wang, Peng Ye; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28870-28889
Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization
Haoyang Li, Xin Wang, Zeyang Zhang, Haibo Chen, Ziwei Zhang, Wenwu Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28890-28904
The Good, The Bad, and Why: Unveiling Emotions in Generative AI
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28905-28934
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28935-28948
Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias
Baohong Li, Anpeng Wu, Ruoxuan Xiong, Kun Kuang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28949-28964
Towards Realistic Model Selection for Semi-supervised Learning
Muyang Li, Xiaobo Xia, Runze Wu, Fengming Huang, Jun Yu, Bo Han, Tongliang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28965-28977
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28978-28988
Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection
Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:28989-29021
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent
Yingru Li, Jiawei Xu, Lei Han, Zhi-Quan Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29022-29062
Towards efficient deep spiking neural networks construction with spiking activity based pruning
Yaxin Li, Qi Xu, Jiangrong Shen, Hongming Xu, Long Chen, Gang Pan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29063-29073
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29074-29095
Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process
Zichong Li, Qunzhi Xu, Zhenghao Xu, Yajun Mei, Tuo Zhao, Hongyuan Zha; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29096-29111
Statistical Properties of Robust Satisficing
Zhiyi Li, Yunbei Xu, Ruohan Zhan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29112-29127
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models
Ziniu Li, Tian Xu, Yushun Zhang, Zhihang Lin, Yang Yu, Ruoyu Sun, Zhi-Quan Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29128-29163
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Haitao Mao, Qian Chen, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29164-29180
IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation
Kai Li, Runxuan Yang, Fuchun Sun, Xiaolin Hu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29181-29200
KernelWarehouse: Rethinking the Design of Dynamic Convolution
Chao Li, Anbang Yao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29201-29221
GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model
Ling Li, Yu Ye, Bingchuan Jiang, Wei Zeng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29222-29233
Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
Yingying Li, Jing Yu, Lauren Conger, Taylan Kargin, Adam Wierman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29234-29265
Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference
Fabing Li, Yuanhao Zhai, Shuangyu Cai, Mingyu Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29266-29277
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
Yichen Li, Chicheng Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29278-29323
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error
Haoran Li, Zicheng Zhang, Wang Luo, Congying Han, Yudong Hu, Tiande Guo, Shichen Liao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29324-29372
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks
Haoyu Li, Shichang Zhang, Longwen Tang, Mathieu Bauchy, Yizhou Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29373-29389
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
Xin Li, Jingdong Zhang, Qunxi Zhu, Chengli Zhao, Xue Zhang, Xiaojun Duan, Wei Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29390-29405
Feel-Good Thompson Sampling for Contextual Dueling Bandits
Xuheng Li, Heyang Zhao, Quanquan Gu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29406-29426
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29427-29447
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29448-29460
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning
Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29461-29488
Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
Shaojie Li, Bowei Zhu, Yong Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29489-29510
Kepler codebook
Junrong Lian, Ziyue Dong, Pengxu Wei, Wei Ke, Chang Liu, Qixiang Ye, Xiangyang Ji, Liang Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29511-29530
Receptive Fields As Experts in Convolutional Neural Architectures
Dongze Lian, Weihao Yu, Xinchao Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29531-29544
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset
Shijie Lian, Ziyi Zhang, Hua Li, Wenjie Li, Laurence Tianruo Yang, Sam Kwong, Runmin Cong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29545-29559
Graph External Attention Enhanced Transformer
Jianqing Liang, Min Chen, Jiye Liang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29560-29574
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel Mcfarland, James Y. Zou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29575-29620
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29621-29643
Single-Trajectory Distributionally Robust Reinforcement Learning
Zhipeng Liang, Xiaoteng Ma, Jose Blanchet, Jun Yang, Jiheng Zhang, Zhengyuan Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29644-29666
Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization
Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29667-29681
Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling
Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29682-29699
Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation
Weixuan Liang, En Zhu, Shengju Yu, Huiying Xu, Xinzhong Zhu, Xinwang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29700-29719
On the Error-Propagation of Inexact Hotelling’s Deflation for Principal Component Analysis
Fangshuo Liao, Junhyung Lyle Kim, Cruz Barnum, Anastasios Kyrillidis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29720-29747
Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium
Luofeng Liao, Christian Kroer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29748-29781
Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning
Yun-Hsuan Lien, Ping-Chun Hsieh, Tzu-Mao Li, Yu-Shuen Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29782-29794
Graph Geometry-Preserving Autoencoders
Jungbin Lim, Jihwan Kim, Yonghyeon Lee, Cheongjae Jang, Frank C. Park; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29795-29815
Momentum Particle Maximum Likelihood
Jen Ning Lim, Juan Kuntz, Samuel Power, Adam Michael Johansen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29816-29871
An Effective Dynamic Gradient Calibration Method for Continual Learning
Weichen Lin, Jiaxiang Chen, Ruomin Huang, Hu Ding; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29872-29889
Equivariant Diffusion for Crystal Structure Prediction
Peijia Lin, Pin Chen, Rui Jiao, Qing Mo, Cen Jianhuan, Wenbing Huang, Yang Liu, Dan Huang, Yutong Lu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29890-29913
Revisiting the Role of Language Priors in Vision-Language Models
Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29914-29934
Non-confusing Generation of Customized Concepts in Diffusion Models
Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29935-29948
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
Wu Lin, Felix Dangel, Runa Eschenhagen, Juhan Bae, Richard E. Turner, Alireza Makhzani; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29949-29973
Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC
Wu Lin, Felix Dangel, Runa Eschenhagen, Kirill Neklyudov, Agustinus Kristiadi, Richard E. Turner, Alireza Makhzani; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29974-29991
Learning to Model the World With Language
Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca Dragan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:29992-30017
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
Kang Lin, Reinhard Heckel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30018-30041
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
Yuchao Lin, Jacob Helwig, Shurui Gui, Shuiwang Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30042-30079
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30080-30107
Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
Fangru Lin, Emanuele La Malfa, Valentin Hofmann, Elle Michelle Yang, Anthony G. Cohn, Janet B. Pierrehumbert; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30108-30134
Dual Operating Modes of In-Context Learning
Ziqian Lin, Kangwook Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30135-30188
HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network
Bor-Jiun Lin, Chun-Yi Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30189-30210
SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters
Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30211-30226
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
Jiabin Lin, Shana Moothedath, Namrata Vaswani; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30227-30251
On Hypothesis Transfer Learning of Functional Linear Models
Haotian Lin, Matthew Reimherr; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30252-30285
Smoothness Adaptive Hypothesis Transfer Learning
Haotian Lin, Matthew Reimherr; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30286-30316
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30317-30345
GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation
Haitao Lin, Lirong Wu, Yufei Huang, Yunfan Liu, Odin Zhang, Yuanqing Zhou, Rui Sun, Stan Z. Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30346-30361
Distributionally Robust Data Valuation
Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu, See-Kiong Ng, Bryan Kian Hsiang Low; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30362-30391
A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
Zhenwei Lin, Chenyu Xue, Qi Deng, Yinyu Ye; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30392-30426
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
Runqi Lin, Chaojian Yu, Bo Han, Hang Su, Tongliang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30427-30439
Autonomous Sparse Mean-CVaR Portfolio Optimization
Yizun Lin, Yangyu Zhang, Zhao-Rong Lai, Cheng Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30440-30456
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30457-30478
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30479-30509
PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching
Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30510-30528
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras
Tzu-Yuan Lin, Minghan Zhu, Maani Ghaffari; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30529-30545
Plug-in Performative Optimization
Licong Lin, Tijana Zrnic; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30546-30565
Position: A Call to Action for a Human-Centered AutoML Paradigm
Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas C Mueller, Frank Hutter, Matthias Feurer, Bernd Bischl; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30566-30584
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C Qiu, Zhenyu Liao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30585-30609
Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
Levi E. Lingsch, Mike Yan Michelis, Emmanuel De Bezenac, Sirani M. Perera, Robert K. Katzschmann, Siddhartha Mishra; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30610-30629
Scaling Tractable Probabilistic Circuits: A Systems Perspective
Anji Liu, Kareem Ahmed, Guy Van Den Broeck; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30630-30646
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals
Ziyi Liu, Idan Attias, Daniel M. Roy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30647-30668
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
Kaizhao Liu, Jose Blanchet, Lexing Ying, Yiping Lu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30669-30701
Graph Distillation with Eigenbasis Matching
Yang Liu, Deyu Bo, Chuan Shi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30702-30717
Adaptive Text Watermark for Large Language Models
Yepeng Liu, Yuheng Bu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30718-30737
Enhancing Adversarial Robustness in SNNs with Sparse Gradients
Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30738-30754
ReLU Network with Width $d+\mathcalO(1)$ Can Achieve Optimal Approximation Rate
Chenghao Liu, Minghua Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30755-30788
Graph Adversarial Diffusion Convolution
Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30789-30806
Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers
Yuxing Liu, Lesi Chen, Luo Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30807-30841
Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization
Zhuanghua Liu, Cheng Chen, Luo Luo, Bryan Kian Hsiang Low; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30842-30872
Unifying Image Processing as Visual Prompting Question Answering
Yihao Liu, Xiangyu Chen, Xianzheng Ma, Xintao Wang, Jiantao Zhou, Yu Qiao, Chao Dong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30873-30891
ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection
Hongyu Liu, Runmin Cong, Hua Li, Qianqian Xu, Qingming Huang, Wei Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30892-30907
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30908-30928
Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models
Songtao Liu, Hanjun Dai, Yue Zhao, Peng Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30929-30945
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30946-30964
Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws
Ning Liu, Yiming Fan, Xianyi Zeng, Milan Klöwer, Lu Zhang, Yue Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30965-30997
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:30998-31014
Decoding-time Realignment of Language Models
Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31015-31031
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
Jinxin Liu, Xinghong Guo, Zifeng Zhuang, Donglin Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31032-31047
Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation
Yuanwei Liu, Junwei Han, Xiwen Yao, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Nian Liu, Fahad Shahbaz Khan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31048-31061
Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation
Jiashun Liu, Jianye Hao, Yi Ma, Shuyin Xia; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31062-31079
PAPM: A Physics-aware Proxy Model for Process Systems
Pengwei Liu, Zhongkai Hao, Xingyu Ren, Hangjie Yuan, Jiayang Ren, Dong Ni; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31080-31105
ELTA: An Enhancer against Long-Tail for Aesthetics-oriented Models
Limin Liu, Shuai He, Anlong Ming, Rui Xie, Huadong Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31106-31118
On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors
Ruipeng Liu, Borui He, Naveed Tahir, Garrett Ethan Katz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31119-31130
Online Speculative Decoding
Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31131-31146
Tuning-free Estimation and Inference of Cumulative Distribution Function under Local Differential Privacy
Yi Liu, Qirui Hu, Linglong Kong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31147-31164
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion
Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31165-31185
Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents
Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31186-31261
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
Pei Liu, Luping Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31262-31292
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31293-31311
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31312-31325
Stereo Risk: A Continuous Modeling Approach to Stereo Matching
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31326-31343
Multi-Source Conformal Inference Under Distribution Shift
Yi Liu, Alexander Levis, Sharon-Lise Normand, Larry Han; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31344-31382
From Generalization Analysis to Optimization Designs for State Space Models
Fusheng Liu, Qianxiao Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31383-31405
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
Tenglong Liu, Yang Li, Yixing Lan, Hao Gao, Wei Pan, Xin Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31406-31424
Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data
Haitong Liu, Qiang Li, Hoi To Wai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31425-31450
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31451-31463
Differentiable Combinatorial Scheduling at Scale
Mingju Liu, Yingjie Li, Jiaqi Yin, Zhiru Zhang, Cunxi Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31464-31476
Characterizing ResNet’s Universal Approximation Capability
Chenghao Liu, Enming Liang, Minghua Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31477-31515
Convergence of Online Learning Algorithm for a Mixture of Multiple Linear Regressions
Yujing Liu, Zhixin Liu, Lei Guo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31516-31540
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31541-31565
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy
Risheng Liu, Zhu Liu, Wei Yao, Shangzhi Zeng, Jin Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31566-31596
Position: Foundation Agents as the Paradigm Shift for Decision Making
Xiaoqian Liu, Xingzhou Lou, Jianbin Jiao, Junge Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31597-31613
Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency
Yangfan Liu, Jiaqi Lv, Xin Geng, Ning Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31614-31628
Revisiting Context Aggregation for Image Matting
Qinglin Liu, Xiaoqian Lv, Quanling Meng, Zonglin Li, Xiangyuan Lan, Shuo Yang, Shengping Zhang, Liqiang Nie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31629-31644
Amortized Equation Discovery in Hybrid Dynamical Systems
Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Stratis Gavves; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31645-31668
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
Junnan Liu, Qianren Mao, Weifeng Jiang, Jianxin Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31669-31690
Floating Anchor Diffusion Model for Multi-motif Scaffolding
Ke Liu, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Chen, Chunhua Shen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31691-31708
Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization
Yirui Liu, Xinghao Qiao, Yulong Pei, Liying Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31709-31727
Fast Decision Boundary based Out-of-Distribution Detector
Litian Liu, Yao Qin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31728-31746
Class-Imbalanced Graph Learning without Class Rebalancing
Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31747-31772
Generative Marginalization Models
Sulin Liu, Peter Ramadge, Ryan P Adams; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31773-31807
Federated Representation Learning in the Under-Parameterized Regime
Renpu Liu, Cong Shen, Jing Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31808-31843
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?
Ryan Liu, Theodore Sumers, Ishita Dasgupta, Thomas L. Griffiths; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31844-31865
Causal Discovery via Conditional Independence Testing with Proxy Variables
Mingzhou Liu, Xinwei Sun, Yu Qiao, Yizhou Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31866-31889
Perfect Alignment May be Poisonous to Graph Contrastive Learning
Jingyu Liu, Huayi Tang, Yong Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31890-31916
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
Xuefeng Liu, Chih-Chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31917-31932
New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming
Hongcheng Liu, Jindong Tong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31933-31948
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31949-31963
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian Mcauley, Zichao Yang, Eric P. Xing, Zhiting Hu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31964-31993
Differentiable Model Scaling using Differentiable Topk
Kai Liu, Ruohui Wang, Jianfei Gao, Kai Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:31994-32014
Symmetric Matrix Completion with ReLU Sampling
Huikang Liu, Peng Wang, Longxiu Huang, Qing Qu, Laura Balzano; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32015-32040
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation
Qinshuo Liu, Zixin Wang, Xi’An Li, Xinyao Ji, Lei Zhang, Lin Liu, Zhonghua Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32041-32061
TimeX++: Learning Time-Series Explanations with Information Bottleneck
Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32062-32082
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models
Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32083-32099
DoRA: Weight-Decomposed Low-Rank Adaptation
Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32100-32121
High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails
Langqi Liu, Yibo Wang, Lijun Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32122-32138
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32139-32172
Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition
Yicheng Liu, Jie Wen, Chengliang Liu, Xiaozhao Fang, Zuoyong Li, Yong Xu, Zheng Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32173-32183
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications
Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32184-32200
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Fei Liu, Tong Xialiang, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32201-32223
Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning
Biao Liu, Ning Xu, Xiangyu Fang, Xin Geng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32224-32238
Causality Based Front-door Defense Against Backdoor Attack on Language Models
Yiran Liu, Xiaoang Xu, Zhiyi Hou, Yang Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32239-32252
Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling
Chengliang Liu, Gehui Xu, Jie Wen, Yabo Liu, Chao Huang, Yong Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32253-32267
Building Socially-Equitable Public Models
Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32268-32286
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
Sheng Liu, Haotian Ye, Lei Xing, James Y. Zou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32287-32307
Minimizing $f$-Divergences by Interpolating Velocity Fields
Song Liu, Jiahao Yu, Jack Simons, Mingxuan Yi, Mark Beaumont; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32308-32331
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32332-32344
Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design
Shuze Liu, Shangtong Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32345-32368
Timer: Generative Pre-trained Transformers Are Large Time Series Models
Yong Liu, Haoran Zhang, Chenyu Li, Xiangdong Huang, Jianmin Wang, Mingsheng Long; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32369-32399
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
Dongyang Liu, Renrui Zhang, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32400-32420
DFD: Distilling the Feature Disparity Differently for Detectors
Kang Liu, Yingyi Zhang, Jingyun Zhang, Jinmin Li, Jun Wang, Shaoming Wang, Chun Yuan, Rizen Guo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32421-32430
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Zechun Liu, Changsheng Zhao, Forrest Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32431-32454
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32455-32470
On the Last-Iterate Convergence of Shuffling Gradient Methods
Zijian Liu, Zhengyuan Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32471-32508
FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees
Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, Mohsen Guizani, Quan Z. Sheng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32509-32551
Pairwise Alignment Improves Graph Domain Adaptation
Shikun Liu, Deyu Zou, Han Zhao, Pan Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32552-32575
Neural Operators with Localized Integral and Differential Kernels
Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32576-32594
A Tensor Decomposition Perspective on Second-order RNNs
Maude Lizaire, Michael Rizvi-Martel, Marawan Gamal, Guillaume Rabusseau; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32595-32611
Coarse-To-Fine Tensor Trains for Compact Visual Representations
Sebastian Bugge Loeschcke, Dan Wang, Christian Munklinde Leth-Espensen, Serge Belongie, Michael Kastoryano, Sagie Benaim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32612-32642
Restoring balance: principled under/oversampling of data for optimal classification
Emanuele Loffredo, Mauro Pastore, Simona Cocco, Remi Monasson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32643-32670
Position: The Causal Revolution Needs Scientific Pragmatism
Joshua R. Loftus; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32671-32679
Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks
Yunfei Long, Zilin Tian, Liguo Zhang, Huosheng Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32680-32690
Position: A Safe Harbor for AI Evaluation and Red Teaming
Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Alex Pentland, Arvind Narayanan, Percy Liang, Peter Henderson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32691-32710
Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
Shayne Longpre, Robert Mahari, Naana Obeng-Marnu, William Brannon, Tobin South, Katy Ilonka Gero, Alex Pentland, Jad Kabbara; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32711-32725
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping
Ben Lonnqvist, Zhengqing Wu, Michael Herzog; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32726-32758
Large Scale Dataset Distillation with Domain Shift
Noel Loo, Alaa Maalouf, Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32759-32780
Attention Meets Post-hoc Interpretability: A Mathematical Perspective
Gianluigi Lopardo, Frederic Precioso, Damien Garreau; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32781-32800
Non-Vacuous Generalization Bounds for Large Language Models
Sanae Lotfi, Marc Anton Finzi, Yilun Kuang, Tim G. J. Rudner, Micah Goldblum, Andrew Gordon Wilson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32801-32818
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
Aaron Lou, Chenlin Meng, Stefano Ermon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32819-32848
Optimal Differentially Private Model Training with Public Data
Andrew Lowy, Zeman Li, Tianjian Huang, Meisam Razaviyayn; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32849-32903
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization
Andrew Lowy, Jonathan Ullman, Stephen Wright; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32904-32923
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models
Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32924-32938
HumanTOMATO: Text-aligned Whole-body Motion Generation
Shunlin Lu, Ling-Hao Chen, Ailing Zeng, Jing Lin, Ruimao Zhang, Lei Zhang, Heung-Yeung Shum; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32939-32977
Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training
Lin Lu, Chenxi Dai, Wangcheng Tao, Binhang Yuan, Yanan Sun, Pan Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32978-32989
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:32990-33006
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
Xing Han Lu, Zdeněk Kasner, Siva Reddy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33007-33056
Open-Domain Text Evaluation via Contrastive Distribution Methods
Sidi Lu, Hongyi Liu, Asli Celikyilmaz, Tianlu Wang, Nanyun Peng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33057-33068
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time
Shengyao Lu, Bang Liu, Keith G Mills, Jiao He, Di Niu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33069-33088
Rethinking Transformers in Solving POMDPs
Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon Shaolei Du, Huazhe Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33089-33112
CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series
Junxin Lu, Shiliang Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33113-33146
NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
Haofan Lu, Christopher Vattheuer, Baharan Mirzasoleiman, Omid Abari; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33147-33159
FiT: Flexible Vision Transformer for Diffusion Model
Zeyu Lu, Zidong Wang, Di Huang, Chengyue Wu, Xihui Liu, Wanli Ouyang, Lei Bai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33160-33176
Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search
Kejing Lu, Chuan Xiao, Yoshiharu Ishikawa; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33177-33195
Disguised Copyright Infringement of Latent Diffusion Models
Yiwei Lu, Matthew Y. R. Yang, Zuoqiu Liu, Gautam Kamath, Yaoliang Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33196-33218
OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning
Bin Lu, Ze Zhao, Luyu Han, Xiaoying Gan, Yuntao Zhou, Lei Zhou, Luoyi Fu, Xinbing Wang, Chenghu Zhou, Jing Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33219-33242
DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models
Sidi Lu, Wenbo Zhao, Chenyang Tao, Arpit Gupta, Shanchan Wu, Tagyoung Chung, Nanyun Peng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33243-33253
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
Xudong Lu, Aojun Zhou, Yuhui Xu, Renrui Zhang, Peng Gao, Hongsheng Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33254-33269
Scaling Laws for Fine-Grained Mixture of Experts
Jan Ludziejewski, Jakub Krajewski, Kamil Adamczewski, Maciej Pióro, Michał Krutul, Szymon Antoniak, Kamil Ciebiera, Krystian Król, Tomasz Odrzygóźdź, Piotr Sankowski, Marek Cygan, Sebastian Jaszczur; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33270-33288
Projecting Molecules into Synthesizable Chemical Spaces
Shitong Luo, Wenhao Gao, Zuofan Wu, Jian Peng, Connor W. Coley, Jianzhu Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33289-33304
PGODE: Towards High-quality System Dynamics Modeling
Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33305-33328
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression
Zhankun Luo, Abolfazl Hashemi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33329-33382
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33383-33410
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33411-33431
Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination
Zhiyao Luo, Yangchen Pan, Peter Watkinson, Tingting Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33432-33465
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33466-33485
Potential Based Diffusion Motion Planning
Yunhao Luo, Chen Sun, Joshua B. Tenenbaum, Yilun Du; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33486-33510
Cluster-Aware Similarity Diffusion for Instance Retrieval
Jifei Luo, Hantao Yao, Changsheng Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33511-33532
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
Lirui Luo, Guoxi Zhang, Hongming Xu, Yaodong Yang, Cong Fang, Qing Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33533-33557
RoboMP$^2$: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models
Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Y Wang, Liqiang Nie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33558-33574
Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data
Wenxi Lv, Qinliang Su, Hai Wan, Hongteng Xu, Wenchao Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33575-33593
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
Qitan Lv, Jie Wang, Hanzhu Chen, Bin Li, Yongdong Zhang, Feng Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33594-33623
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33624-33637
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Jiafei Lyu, Chenjia Bai, Jing-Wen Yang, Zongqing Lu, Xiu Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33638-33663
Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models
Junlong Lyu, Zhitang Chen, Shoubo Feng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33664-33685
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33686-33729
Rethinking Decision Transformer via Hierarchical Reinforcement Learning
Yi Ma, Jianye Hao, Hebin Liang, Chenjun Xiao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33730-33745
Better Locally Private Sparse Estimation Given Multiple Samples Per User
Yuheng Ma, Ke Jia, Hanfang Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33746-33776
Learning Modality Knowledge Alignment for Cross-Modality Transfer
Wenxuan Ma, Shuang Li, Lincan Cai, Jingxuan Kang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33777-33793
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
Mengmeng Ma, Tang Li, Xi Peng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33794-33810
Outlier-aware Slicing for Post-Training Quantization in Vision Transformer
Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33811-33825
X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar Generation
Yiwei Ma, Zhekai Lin, Jiayi Ji, Yijun Fan, Xiaoshuai Sun, Rongrong Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33826-33838
Neighboring Perturbations of Knowledge Editing on Large Language Models
Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang, Jia-Chen Gu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33839-33854
Do Transformer World Models Give Better Policy Gradients?
Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D’Oro, Pierre-Luc Bacon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33855-33879
Differentiable Distributionally Robust Optimization Layers
Xutao Ma, Chao Ning, Wenli Du; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33880-33901
CKGConv: General Graph Convolution with Continuous Kernels
Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33902-33924
Reward Shaping for Reinforcement Learning with An Assistant Reward Agent
Haozhe Ma, Kuankuan Sima, Thanh Vinh Vo, Di Fu, Tze-Yun Leong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33925-33939
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33940-33962
Fast Peer Adaptation with Context-aware Exploration
Long Ma, Yuanfei Wang, Fangwei Zhong, Song-Chun Zhu, Yizhou Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33963-33982
HarmonyDream: Task Harmonization Inside World Models
Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:33983-34007
High-dimensional Linear Bandits with Knapsacks
Wanteng Ma, Dong Xia, Jiashuo Jiang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34008-34037
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment
Ziping Ma, Furong Xu, Jian Liu, Ming Yang, Qingpei Guo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34038-34052
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34053-34074
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
Yiyang Ma, Wenhan Yang, Jiaying Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34075-34093
A Provable Decision Rule for Out-of-Distribution Detection
Xinsong Ma, Xin Zou, Weiwei Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34094-34114
Prospector Heads: Generalized Feature Attribution for Large Models & Data
Gautam Machiraju, Alexander Derry, Arjun D Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B Altman, Christopher Re, Parag Mallick; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34115-34144
Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms
Hiren Madhu, Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34145-34160
Faithfulness Measurable Masked Language Models
Andreas Madsen, Siva Reddy, Sarath Chandar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34161-34202
On the Hardness of Probabilistic Neurosymbolic Learning
Jaron Maene, Vincent Derkinderen, Luc De Raedt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34203-34218
Random Latent Exploration for Deep Reinforcement Learning
Srinath V. Mahankali, Zhang-Wei Hong, Ayush Sekhari, Alexander Rakhlin, Pulkit Agrawal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34219-34252
Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
Yannik Mahlau, Frederik Schubert, Bodo Rosenhahn; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34253-34280
Split-and-Denoise: Protect large language model inference with local differential privacy
Peihua Mai, Ran Yan, Zhe Huang, Youjia Yang, Yan Pang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34281-34302
tinyBenchmarks: evaluating LLMs with fewer examples
Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34303-34326
SCoRe: Submodular Combinatorial Representation Learning
Anay Majee, Suraj Nandkishor Kothawade, Krishnateja Killamsetty, Rishabh K Iyer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34327-34349
Position: Data-driven Discovery with Large Generative Models
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34350-34382
LASER: Linear Compression in Wireless Distributed Optimization
Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael Gastpar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34383-34416
Auto-Regressive Next-Token Predictors are Universal Learners
Eran Malach; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34417-34431
Self-Composing Policies for Scalable Continual Reinforcement Learning
Mikel Malagon, Josu Ceberio, Jose A. Lozano; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34432-34460
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
Saber Malekmohammadi, Yaoliang Yu, Yang Cao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34461-34498
Measures of diversity and space-filling designs for categorical data
Cedric Malherbe, Emilio Domı́nguez-Sánchez, Merwan Barlier, Igor Colin, Haitham Bou Ammar, Tom Diethe; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34499-34528
COPAL: Continual Pruning in Large Language Generative Models
Srikanth Malla, Joon Hee Choi, Chiho Choi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34529-34542
Minimum-Norm Interpolation Under Covariate Shift
Neil Rohit Mallinar, Austin Zane, Spencer Frei, Bin Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34543-34585
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
Stefano Sarao Mannelli, Yaraslau Ivashynka, Andrew M Saxe, Luca Saglietti; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34586-34602
Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion
Hila Manor, Tomer Michaeli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34603-34629
Submodular framework for structured-sparse optimal transport
Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Sakethanath Jagarlapudi, Bamdev Mishra; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34630-34653
Large Language Models are Geographically Biased
Rohin Manvi, Samar Khanna, Marshall Burke, David B. Lobell, Stefano Ermon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34654-34669
Position: Graph Foundation Models Are Already Here
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34670-34692
Towards General Neural Surrogate Solvers with Specialized Neural Accelerators
Chenkai Mao, Robert Lupoiu, Tianxiang Dai, Mingkun Chen, Jonathan Fan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34693-34711
$H$-Consistency Guarantees for Regression
Anqi Mao, Mehryar Mohri, Yutao Zhong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34712-34737
Regression with Multi-Expert Deferral
Anqi Mao, Mehryar Mohri, Yutao Zhong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34738-34759
No-Regret Reinforcement Learning in Smooth MDPs
Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34760-34789
Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34790-34821
Quantum Theory and Application of Contextual Optimal Transport
Nicola Mariella, Albert Akhriev, Francesco Tacchino, Christa Zoufal, Juan Carlos Gonzalez-Espitia, Benedek Harsanyi, Eugene Koskin, Ivano Tavernelli, Stefan Woerner, Marianna Rapsomaniki, Sergiy Zhuk, Jannis Born; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34822-34845
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34846-34865
A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation
Yosra Marnissi, Maxime Leiber; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34866-34894
Expand-and-Cluster: Parameter Recovery of Neural Networks
Flavio Martinelli, Berfin Simsek, Wulfram Gerstner, Johanni Brea; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34895-34919
Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
David Martı́nez-Rubio, Christophe Roux, Sebastian Pokutta; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34920-34948
Using AI Uncertainty Quantification to Improve Human Decision-Making
Laura Marusich, Jonathan Bakdash, Yan Zhou, Murat Kantarcioglu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34949-34960
On the Tractability of SHAP Explanations under Markovian Distributions
Reda Marzouk, Colin De La Higuera; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34961-34986
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference
Luca Masserano, Alexander Shen, Michele Doro, Tommaso Dorigo, Rafael Izbicki, Ann B. Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:34987-35012
On the Consistency of Kernel Methods with Dependent Observations
Pierre-François Massiani, Sebastian Trimpe, Friedrich Solowjow; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35013-35038
Online Variational Sequential Monte Carlo
Alessandro Mastrototaro, Jimmy Olsson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35039-35062
Amortized Variational Deep Kernel Learning
Alan L. S. Matias, César Lincoln Mattos, João Paulo Pordeus Gomes, Diego Mesquita; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35063-35078
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models
Paul Mattes, Rainer Schlosser, Ralf Herbrich; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35079-35103
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
Michael Matthews, Michael Beukman, Benjamin Ellis, Mikayel Samvelyan, Matthew Thomas Jackson, Samuel Coward, Jakob Nicolaus Foerster; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35104-35137
Sampling in Unit Time with Kernel Fisher-Rao Flow
Aimee Maurais, Youssef Marzouk; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35138-35162
Joint Composite Latent Space Bayesian Optimization
Natalie Maus, Zhiyuan Jerry Lin, Maximilian Balandat, Eytan Bakshy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35163-35180
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David Forsyth, Dan Hendrycks; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35181-35224
Deep Fusion: Efficient Network Training via Pre-trained Initializations
Hanna Mazzawi, Javier Gonzalvo, Michael Wunder, Sammy Jerome, Benoit Dherin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35225-35239
Incremental Topological Ordering and Cycle Detection with Predictions
Samuel Mccauley, Benjamin Moseley, Aidin Niaparast, Shikha Singh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35240-35254
Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI
Daniel Mcduff, Tim Korjakow, Scott Cambo, Jesse Josua Benjamin, Jenny Lee, Yacine Jernite, Carlos Muñoz Ferrandis, Aaron Gokaslan, Alek Tarkowski, Joseph Lindley, A. Feder Cooper, Danish Contractor; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35255-35266
Roping in Uncertainty: Robustness and Regularization in Markov Games
Jeremy Mcmahan, Giovanni Artiglio, Qiaomin Xie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35267-35295
Copyright Traps for Large Language Models
Matthieu Meeus, Igor Shilov, Manuel Faysse, Yves-Alexandre De Montjoye; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35296-35309
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation
Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35310-35323
O$n$ Learning Deep O($n$)-Equivariant Hyperspheres
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35324-35339
Position: Tensor Networks are a Valuable Asset for Green AI
Eva Memmel, Clara Menzen, Jetze Schuurmans, Frederiek Wesel, Kim Batselier; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35340-35353
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35354-35377
Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification
Yiming Meng, Ruikun Zhou, Amartya Mukherjee, Maxwell Fitzsimmons, Christopher Song, Jun Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35378-35403
Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data
Xuran Meng, Difan Zou, Yuan Cao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35404-35469
Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models
Pierre Mergny, Justin Ko, Florent Krzakala; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35470-35491
The Illusion of State in State-Space Models
William Merrill, Jackson Petty, Ashish Sabharwal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35492-35506
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35507-35527
How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective
Keyan Miao, Konstantinos Gatsis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35528-35545
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
Siqi Miao, Zhiyuan Lu, Mia Liu, Javier Duarte, Pan Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35546-35569
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35570-35589
DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation
Chenfeng Miao, Qingying Zhu, Minchuan Chen, Wei Hu, Zijian Li, Shaojun Wang, Jing Xiao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35590-35606
Rethinking Momentum Knowledge Distillation in Online Continual Learning
Nicolas Michel, Maorong Wang, Ling Xiao, Toshihiko Yamasaki; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35607-35622
Efficient World Models with Context-Aware Tokenization
Vincent Micheli, Eloi Alonso, François Fleuret; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35623-35638
Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification
Martin Mihelich, François Castagnos, Charles Dognin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35639-35646
CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes
Peter Mikhael, Itamar Chinn, Regina Barzilay; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35647-35663
FlowMM: Generating Materials with Riemannian Flow Matching
Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M Wood; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35664-35686
Can Implicit Bias Imply Adversarial Robustness?
Hancheng Min, Rene Vidal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35687-35718
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
Yifei Ming, Yixuan Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35719-35743
RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples
Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Ali Ansari, Sepehr Ghobadi, Masoud Hadi, Arshia Soltani Moakhar, Mohammad Azizmalayeri, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35744-35778
Prodigy: An Expeditiously Adaptive Parameter-Free Learner
Konstantin Mishchenko, Aaron Defazio; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35779-35804
From Inverse Optimization to Feasibility to ERM
Saurabh Kumar Mishra, Anant Raj, Sharan Vaswani; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35805-35828
Provable Interactive Learning with Hindsight Instruction Feedback
Dipendra Misra, Aldo Pacchiano, Robert E. Schapire; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35829-35850
Position: Intent-aligned AI Systems Must Optimize for Agency Preservation
Catalin Mitelut, Benjamin Smith, Peter Vamplew; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35851-35875
Faster Streaming and Scalable Algorithms for Finding Directed Dense Subgraphs in Large Graphs
Slobodan Mitrovic, Theodore Pan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35876-35891
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors
Yichuan Mo, Hui Huang, Mingjie Li, Ang Li, Yisen Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35892-35909
Error Feedback Can Accurately Compress Preconditioners
Ionut-Vlad Modoranu, Aleksei Kalinov, Eldar Kurtic, Elias Frantar, Dan Alistarh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35910-35933
Why Do You Grok? A Theoretical Analysis on Grokking Modular Addition
Mohamad Amin Mohamadi, Zhiyuan Li, Lei Wu, Danica J. Sutherland; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35934-35967
Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm
Mimoun Mohamed, Francois Malgouyres, Valentin Emiya, Caroline Chaux; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35968-36011
OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Ray Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36012-36028
Language Models with Conformal Factuality Guarantees
Christopher Mohri, Tatsunori Hashimoto; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36029-36047
Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks
Bjørn Leth Møller, Christian Igel, Kristoffer Knutsen Wickstrøm, Jon Sporring, Robert Jenssen, Bulat Ibragimov; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36048-36071
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
Nicholas Monath, Will Sussman Grathwohl, Michael Boratko, Rob Fergus, Andrew Mccallum, Manzil Zaheer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36072-36087
Slot Abstractors: Toward Scalable Abstract Visual Reasoning
Shanka Subhra Mondal, Jonathan D. Cohen, Taylor Whittington Webb; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36088-36105
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36106-36159
Learning Optimal Deterministic Policies with Stochastic Policy Gradients
Alessandro Montenegro, Marco Mussi, Alberto Maria Metelli, Matteo Papini; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36160-36211
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
Taehong Moon, Moonseok Choi, Eunggu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36212-36228
Lookbehind-SAM: k steps back, 1 step forward
Goncalo Mordido, Pranshu Malviya, Aristide Baratin, Sarath Chandar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36229-36248
Causal Representation Learning Made Identifiable by Grouping of Observational Variables
Hiroshi Morioka, Aapo Hyvarinen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36249-36293
Position: Future Directions in the Theory of Graph Machine Learning
Christopher Morris, Fabrizio Frasca, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36294-36307
Position: Levels of AGI for Operationalizing Progress on the Path to AGI
Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clement Farabet, Shane Legg; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36308-36321
Gibbs Sampling of Continuous Potentials on a Quantum Computer
Arsalan Motamedi, Pooya Ronagh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36322-36371
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs
S Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W. Mahoney, Bernie Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36372-36418
Privacy Attacks in Decentralized Learning
Abdellah El Mrini, Edwige Cyffers, Aurélien Bellet; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36419-36433
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis
Yao Mu, Junting Chen, Qing-Long Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36434-36454
On the Second-Order Convergence of Biased Policy Gradient Algorithms
Siqiao Mu, Diego Klabjan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36455-36485
Controlled Decoding from Language Models
Sidharth Mudgal, Jong Lee, Harish Ganapathy, Yaguang Li, Tao Wang, Yanping Huang, Zhifeng Chen, Heng-Tze Cheng, Michael Collins, Trevor Strohman, Jilin Chen, Alex Beutel, Ahmad Beirami; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36486-36503
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States
Noga Mudrik, Gal Mishne, Adam Shabti Charles; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36504-36530
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP
Subhojyoti Mukherjee, Josiah P. Hanna, Robert D Nowak; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36531-36576
Active Preference Learning for Large Language Models
William Muldrew, Peter Hayes, Mingtian Zhang, David Barber; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36577-36590
Is Kernel Prediction More Powerful than Gating in Convolutional Neural Networks?
Lorenz K Muller; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36591-36604
Truly No-Regret Learning in Constrained MDPs
Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36605-36653
Aligning Transformers with Weisfeiler-Leman
Luis Müller, Christopher Morris; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36654-36704
Position: Optimization in SciML Should Employ the Function Space Geometry
Johannes Müller, Marius Zeinhofer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36705-36722
Individual Fairness in Graph Decomposition
Kamesh Munagala, Govind S. Sankar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36723-36742
Nash Learning from Human Feedback
Remi Munos, Michal Valko, Daniele Calandriello, Mohammad Gheshlaghi Azar, Mark Rowland, Zhaohan Daniel Guo, Yunhao Tang, Matthieu Geist, Thomas Mesnard, Côme Fiegel, Andrea Michi, Marco Selvi, Sertan Girgin, Nikola Momchev, Olivier Bachem, Daniel J Mankowitz, Doina Precup, Bilal Piot; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36743-36768
Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation
Alexander Munteanu, Simon Omlor; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36769-36796
Turnstile $\ell_p$ leverage score sampling with applications
Alexander Munteanu, Simon Omlor; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36797-36828
Learning to Route Among Specialized Experts for Zero-Shot Generalization
Mohammed Muqeeth, Haokun Liu, Yufan Liu, Colin Raffel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36829-36846
Autoformalizing Euclidean Geometry
Logan Murphy, Kaiyu Yang, Jialiang Sun, Zhaoyu Li, Anima Anandkumar, Xujie Si; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36847-36893
BAGEL: Bootstrapping Agents by Guiding Exploration with Language
Shikhar Murty, Christopher D Manning, Peter Shaw, Mandar Joshi, Kenton Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36894-36910
Factored-Reward Bandits with Intermediate Observations
Marco Mussi, Simone Drago, Marcello Restelli, Alberto Maria Metelli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36911-36952
Best Arm Identification for Stochastic Rising Bandits
Marco Mussi, Alessandro Montenegro, Francesco Trovò, Marcello Restelli, Alberto Maria Metelli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36953-36989
GATE: How to Keep Out Intrusive Neighbors
Nimrah Mustafa, Rebekka Burkholz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36990-37015
Test-Time Regret Minimization in Meta Reinforcement Learning
Mirco Mutti, Aviv Tamar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37016-37040
Saliency strikes back: How filtering out high frequencies improves white-box explanations
Sabine Muzellec, Thomas Fel, Victor Boutin, Léo Andéol, Rufin Vanrullen, Thomas Serre; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37041-37075
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
Vivek Myers, Chongyi Zheng, Anca Dragan, Sergey Levine, Benjamin Eysenbach; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37076-37096
Diffusion Rejection Sampling
Byeonghu Na, Yeongmin Kim, Minsang Park, Donghyeok Shin, Wanmo Kang, Il-Chul Moon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37097-37121
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
Hyungho Na, Il-Chul Moon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37122-37140
Learning in Deep Factor Graphs with Gaussian Belief Propagation
Seth Nabarro, Mark Van Der Wilk, Andrew Davison; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37141-37163
Don’t be so Negative! Score-based Generative Modeling with Oracle-assisted Guidance
Saeid Naderiparizi, Xiaoxuan Liang, Setareh Cohan, Berend Zwartsenberg, Frank Wood; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37164-37187
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation
Yididiya Y. Nadew, Xuhui Fan, Christopher John Quinn; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37188-37212
Slicing Mutual Information Generalization Bounds for Neural Networks
Kimia Nadjahi, Kristjan Greenewald, Rickard Brüel Gabrielsson, Justin Solomon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37213-37236
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37237-37259
Density Ratio Estimation with Doubly Strong Robustness
Ryosuke Nagumo, Hironori Fujisawa; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37260-37276
Solving Poisson Equations using Neural Walk-on-Spheres
Hong Chul Nam, Julius Berner, Anima Anandkumar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37277-37292
Time Weaver: A Conditional Time Series Generation Model
Sai Shankar Narasimhan, Shubhankar Agarwal, Oguzhan Akcin, Sujay Sanghavi, Sandeep P. Chinchali; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37293-37320
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37321-37341
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
Michal Nauman, Michał Bortkiewicz, Piotr Miłoś, Tomasz Trzcinski, Mateusz Ostaszewski, Marek Cygan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37342-37364
Box Facets and Cut Facets of Lifted Multicut Polytopes
Lucas Fabian Naumann, Jannik Irmai, Shengxian Zhao, Bjoern Andres; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37365-37375
Equivariant Deep Weight Space Alignment
Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37376-37395
Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
Piotr Nawrot, Adrian Łańcucki, Marcin Chochowski, David Tarjan, Edoardo Ponti; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37396-37412
Stable Differentiable Causal Discovery
Achille Nazaret, Justin Hong, Elham Azizi, David Blei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37413-37445
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
Paarth Neekhara, Shehzeen Samarah Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian Mcauley; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37446-37460
A Computational Framework for Solving Wasserstein Lagrangian Flows
Kirill Neklyudov, Rob Brekelmans, Alexander Tong, Lazar Atanackovic, Qiang Liu, Alireza Makhzani; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37461-37485
On The Fairness Impacts of Hardware Selection in Machine Learning
Sree Harsha Nelaturu, Nishaanth Kanna Ravichandran, Cuong Tran, Sara Hooker, Ferdinando Fioretto; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37486-37507
Dealing With Unbounded Gradients in Stochastic Saddle-point Optimization
Gergely Neu, Nneka Okolo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37508-37530
Score-Based Causal Discovery of Latent Variable Causal Models
Ignavier Ng, Xinshuai Dong, Haoyue Dai, Biwei Huang, Peter Spirtes, Kun Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37531-37552
Measuring Stochastic Data Complexity with Boltzmann Influence Functions
Nathan Hoyen Ng, Roger Baker Grosse, Marzyeh Ghassemi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37553-37569
Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
Huy Nguyen, Pedram Akbarian, Nhat Ho; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37570-37616
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
Huy Nguyen, Pedram Akbarian, Trungtin Nguyen, Nhat Ho; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37617-37648
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling
Phong C.H. Nguyen, Xinlun Cheng, Shahab Azarfar, Pradeep Seshadri, Yen T. Nguyen, Munho Kim, Sanghun Choi, H.S. Udaykumar, Stephen Baek; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37649-37666
Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design
Quan Nguyen, Adji Bousso Dieng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37667-37682
Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems
Ta Duy Nguyen, Alina Ene; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37683-37706
On Least Square Estimation in Softmax Gating Mixture of Experts
Huy Nguyen, Nhat Ho, Alessandro Rinaldo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37707-37735
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An Thai Le, Trungtin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37736-37760
Generative Conditional Distributions by Neural (Entropic) Optimal Transport
Bao Nguyen, Binh Nguyen, Hieu Trung Nguyen, Viet Anh Nguyen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37761-37775
PIDformer: Transformer Meets Control Theory
Tam Minh Nguyen, Cesar A Uribe, Tan Minh Nguyen, Richard Baraniuk; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37776-37797
Differentially private exact recovery for stochastic block models
Dung Nguyen, Anil Kumar Vullikanti; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37798-37839
Novel Spectral Algorithms for the Partial Credit Model
Duc Nguyen, Anderson Ye Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37840-37878
Sliced Wasserstein with Random-Path Projecting Directions
Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37879-37899
On The Statistical Complexity of Offline Decision-Making
Thanh Nguyen-Tang, Raman Arora; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37900-37928
NExT: Teaching Large Language Models to Reason about Code Execution
Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37929-37956
On the Nonlinearity of Layer Normalization
Yunhao Ni, Yuxin Guo, Junlong Jia, Lei Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37957-37998
Risk-Sensitive Reward-Free Reinforcement Learning with CVaR
Xinyi Ni, Guanlin Liu, Lifeng Lai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:37999-38017
How Transformers Learn Causal Structure with Gradient Descent
Eshaan Nichani, Alex Damian, Jason D. Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38018-38070
Online Cascade Learning for Efficient Inference over Streams
Lunyiu Nie, Zhimin Ding, Erdong Hu, Christopher Jermaine, Swarat Chaudhuri; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38071-38090
Compositional Text-to-Image Generation with Dense Blob Representations
Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38091-38116
Nearest Neighbour Score Estimators for Diffusion Generative Models
Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38117-38144
Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences
Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38145-38186
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
Mahdi Nikdan, Soroush Tabesh, Elvir Crnčević, Dan Alistarh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38187-38206
REMEDI: Corrective Transformations for Improved Neural Entropy Estimation
Viktor Nilsson, Anirban Samaddar, Sandeep Madireddy, Pierre Nyquist; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38207-38236
Indirectly Parameterized Concrete Autoencoders
Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa Motilva, Hossein Azizpour; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38237-38252
Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error
Masaaki Nishino, Kengo Nakamura, Norihito Yasuda; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38253-38263
Risk Aware Benchmarking of Large Language Models
Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan Greenewald, Brian Belgodere, Mikhail Yurochkin, Jiri Navratil, Igor Melnyk, Jarret Ross; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38264-38297
Test-Time Model Adaptation with Only Forward Passes
Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38298-38315
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming
Xinlei Niu, Christian Walder, Jing Zhang, Charles Patrick Martin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38316-38343
GFlowNet Training by Policy Gradients
Puhua Niu, Shili Wu, Mingzhou Fan, Xiaoning Qian; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38344-38380
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling
Ruijia Niu, Dongxia Wu, Kai Kim, Yian Ma, Duncan Watson-Parris, Rose Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38381-38394
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
Divya Nori, Wengong Jin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38395-38408
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills
Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38409-38425
DITTO: Diffusion Inference-Time T-Optimization for Music Generation
Zachary Novack, Julian Mcauley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38426-38447
$f$-Divergence Based Classification: Beyond the Use of Cross-Entropy
Nicola Novello, Andrea M Tonello; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38448-38473
Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization
Aleksandra Nowak, Łukasz Gniecki, Filip Szatkowski, Jacek Tabor; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38474-38494
In value-based deep reinforcement learning, a pruned network is a good network
Johan Samir Obando Ceron, Aaron Courville, Pablo Samuel Castro; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38495-38519
Mixtures of Experts Unlock Parameter Scaling for Deep RL
Johan Samir Obando Ceron, Ghada Sokar, Timon Willi, Clare Lyle, Jesse Farebrother, Jakob Nicolaus Foerster, Gintare Karolina Dziugaite, Doina Precup, Pablo Samuel Castro; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38520-38540
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
Jeongheon Oh, Kibok Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38541-38561
Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network
Hyunseok Oh, Youngki Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38562-38598
The Perception-Robustness Tradeoff in Deterministic Image Restoration
Guy Ohayon, Tomer Michaeli, Michael Elad; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38599-38638
Linear Explanations for Individual Neurons
Tuomas Oikarinen, Tsui-Wei Weng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38639-38662
Adaptive Proximal Gradient Methods Are Universal Without Approximation
Konstantinos Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38663-38682
SILVER: Single-loop variance reduction and application to federated learning
Kazusato Oko, Shunta Akiyama, Denny Wu, Tomoya Murata, Taiji Suzuki; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38683-38739
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions
Harrie Oosterhuis, Lijun Lyu, Avishek Anand; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38740-38761
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38762-38778
Deep Stochastic Mechanics
Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38779-38814
Variational Linearized Laplace Approximation for Bayesian Deep Learning
Luis A. Ortega, Simon Rodriguez Santana, Daniel Hernández-Lobato; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38815-38836
Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues
Antonio Orvieto, Soham De, Caglar Gulcehre, Razvan Pascanu, Samuel L Smith; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38837-38863
Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning
Takayuki Osa, Tatsuya Harada; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38864-38884
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Oleksiy Ostapenko, Zhan Su, Edoardo Ponti, Laurent Charlin, Nicolas Le Roux, Lucas Caccia, Alessandro Sordoni; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38885-38904
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
Amine Ouasfi, Adnane Boukhayma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38905-38918
Differentiable Mapper for Topological Optimization of Data Representation
Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38919-38936
Structured Chemistry Reasoning with Large Language Models
Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Yejin Choi, Jiawei Han, Lianhui Qin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38937-38952
Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions
Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi, Chunhao Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38953-38982
MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent
Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:38983-39008
Listenable Maps for Audio Classifiers
Francesco Paissan, Mirco Ravanelli, Cem Subakan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39009-39021
Implicit Representations via Operator Learning
Sourav Pal, Harshavardhan Adepu, Clinton Wang, Polina Golland, Vikas Singh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39022-39041
Bayesian Program Learning by Decompiling Amortized Knowledge
Alessandro B. Palmarini, Christopher G. Lucas, Siddharth N; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39042-39055
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection
Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39056-39086
Counterfactual Image Editing
Yushu Pan, Elias Bareinboim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39087-39101
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
Jiarong Pan, Stefan Falkner, Felix Berkenkamp, Joaquin Vanschoren; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39102-39134
$S^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39135-39153
Feedback Loops With Language Models Drive In-Context Reward Hacking
Alexander Pan, Erik Jones, Meena Jagadeesan, Jacob Steinhardt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39154-39200
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
Xiaokang Pan, Xingyu Li, Jin Liu, Tao Sun, Kai Sun, Lixing Chen, Zhe Qu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39201-39275
RMIB: Representation Matching Information Bottleneck for Matching Text Representations
Haihui Pan, Zhifang Liao, Wenrui Xie, Kun Han; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39276-39291
Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
Michelle Pan, Mariah L Schrum, Vivek Myers, Erdem Biyik, Anca Dragan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39292-39307
Auto-Encoding Morph-Tokens for Multimodal LLM
Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39308-39323
Model-Free Robust $φ$-Divergence Reinforcement Learning Using Both Offline and Online Data
Kishan Panaganti, Adam Wierman, Eric Mazumdar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39324-39363
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
Ashwinee Panda, Xinyu Tang, Saeed Mahloujifar, Vikash Sehwag, Prateek Mittal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39364-39399
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback
Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39400-39415
Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39416-39447
Trainable Transformer in Transformer
Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia, Sanjeev Arora; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39448-39492
Position: A Call for Embodied AI
Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39493-39508
Arrows of Time for Large Language Models
Vassilis Papadopoulos, Jérémie Wenger, Clément Hongler; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39509-39528
Position: Topological Deep Learning is the New Frontier for Relational Learning
Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T Schaub, Petar Veličković, Bei Wang, Yusu Wang, Guowei Wei, Ghada Zamzmi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39529-39555
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39556-39586
Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture
Sangjun Park, Jinyeong Bak; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39587-39615
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm
Giseung Park, Woohyeon Byeon, Seongmin Kim, Elad Havakuk, Amir Leshem, Youngchul Sung; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39616-39642
The Linear Representation Hypothesis and the Geometry of Large Language Models
Kiho Park, Yo Joong Choe, Victor Veitch; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39643-39666
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
Moonjeong Park, Jaeseung Heo, Dongwoo Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39667-39681
Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
Yeonhong Park, Jake Hyun, Sanglyul Cho, Bonggeun Sim, Jae W. Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39682-39701
Mean-field Chaos Diffusion Models
Sungwoo Park, Dongjun Kim, Ahmed Alaa; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39702-39736
Foundation Policies with Hilbert Representations
Seohong Park, Tobias Kreiman, Sergey Levine; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39737-39761
SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding
Chanho Park, Namyoon Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39762-39780
Position: Automatic Environment Shaping is the Next Frontier in RL
Younghyo Park, Gabriel B. Margolis, Pulkit Agrawal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39781-39792
Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks
Jongho Park, Jaeseung Park, Zheyang Xiong, Nayoung Lee, Jaewoong Cho, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39793-39812
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
Ji Won Park, Natasa Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39813-39833
State-Free Inference of State-Space Models: The *Transfer Function* Approach
Rom Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T.H. Smith, Ramin Hasani, Mathias Lechner, Qi An, Christopher Re, Hajime Asama, Stefano Ermon, Taiji Suzuki, Michael Poli, Atsushi Yamashita; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39834-39860
Variational Inference with Coverage Guarantees in Simulation-Based Inference
Yash Patel, Declan Mcnamara, Jackson Loper, Jeffrey Regier, Ambuj Tewari; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39861-39888
Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles
Bhrij Patel, Wesley A Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Dinesh Manocha, Amrit Bedi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39889-39907
Optimal Ridge Regularization for Out-of-Distribution Prediction
Pratik Patil, Jin-Hong Du, Ryan Tibshirani; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39908-39954
PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR
Kartik Patwari, Chen-Nee Chuah, Lingjuan Lyu, Vivek Sharma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39955-39971
Estimating Canopy Height at Scale
Jan Pauls, Max Zimmer, Una M. Kelly, Martin Schwartz, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Martin Brandt, Fabian Gieseke; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39972-39988
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
Anselm Paulus, Georg Martius, Vı́t Musil; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39989-40014
Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces
Brahma S Pavse, Matthew Zurek, Yudong Chen, Qiaomin Xie, Josiah P. Hanna; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40015-40033
In-Context Unlearning: Language Models as Few-Shot Unlearners
Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40034-40050
Graph Automorphism Group Equivariant Neural Networks
Edward Pearce-Crump, William Knottenbelt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40051-40077
Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing
Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40078-40091
Exploiting Code Symmetries for Learning Program Semantics
Kexin Pei, Weichen Li, Qirui Jin, Shuyang Liu, Scott Geng, Lorenzo Cavallaro, Junfeng Yang, Suman Jana; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40092-40113
Modeling Language Tokens as Functionals of Semantic Fields
Zhengqi Pei, Anran Zhang, Shuhui Wang, Qingming Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40114-40128
Data-free Neural Representation Compression with Riemannian Neural Dynamics
Zhengqi Pei, Anran Zhang, Shuhui Wang, Xiangyang Ji, Qingming Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40129-40144
BetterV: Controlled Verilog Generation with Discriminative Guidance
Zehua Pei, Huiling Zhen, Mingxuan Yuan, Yu Huang, Bei Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40145-40153
Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks
Amit Peleg, Matthias Hein; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40154-40184
Knowledge Distillation with Auxiliary Variable
Bo Peng, Zhen Fang, Guangquan Zhang, Jie Lu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40185-40199
UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers
Duo Peng, Qiuhong Ke, Jun Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40200-40214
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
Bo Peng, Xinyi Ling, Ziru Chen, Huan Sun, Xia Ning; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40215-40257
Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input
Andi Peng, Yuying Sun, Tianmin Shu, David Abel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40258-40270
UPOCR: Towards Unified Pixel-Level OCR Interface
Dezhi Peng, Zhenhua Yang, Jiaxin Zhang, Chongyu Liu, Yongxin Shi, Kai Ding, Fengjun Guo, Lianwen Jin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40271-40294
Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares
Liangzu Peng, Wotao Yin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40295-40330
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40331-40346
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
Xinyu Peng, Ziyang Zheng, Wenrui Dai, Nuoqian Xiao, Chenglin Li, Junni Zou, Hongkai Xiong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40347-40370
A Subquadratic Time Algorithm for Robust Sparse Mean Estimation
Ankit Pensia; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40371-40396
CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources
Sikha Pentyala, Mayana Pereira, Martine De Cock; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40397-40413
Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach
Johan Peralez, Aurélien Delage, Olivier Buffet, Jilles Steeve Dibangoye; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40414-40438
The Relative Value of Prediction in Algorithmic Decision Making
Juan Carlos Perdomo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40439-40460
Interpreting and Improving Diffusion Models from an Optimization Perspective
Frank Permenter, Chenyang Yuan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40461-40483
Mechanistic Neural Networks for Scientific Machine Learning
Adeel Pervez, Francesco Locatello, Stratis Gavves; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40484-40501
Bayesian Regret Minimization in Offline Bandits
Marek Petrik, Guy Tennenholtz, Mohammad Ghavamzadeh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40502-40522
Prompting a Pretrained Transformer Can Be a Universal Approximator
Aleksandar Petrov, Philip Torr, Adel Bibi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40523-40550
Discovering Environments with XRM
Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim, Nicolas Ballas, Pascal Vincent, David Lopez-Paz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40551-40569
Transport of Algebraic Structure to Latent Embeddings
Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40570-40591
Neural NeRF Compression
Tuan Pham, Stephan Mandt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40592-40610
Cross-view Masked Diffusion Transformers for Person Image Synthesis
Trung X. Pham, Kang Zhang, Chang D. Yoo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40611-40641
When is Transfer Learning Possible?
My Phan, Kianté Brantley, Stephanie Milani, Soroush Mehri, Gokul Swamy, Geoffrey J. Gordon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40642-40666
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Hoang Phan, Andrew Gordon Wilson, Qi Lei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40667-40687
Particle Denoising Diffusion Sampler
Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40688-40724
Federated Continual Learning via Prompt-based Dual Knowledge Transfer
Hongming Piao, Yichen Wu, Dapeng Wu, Ying Wei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40725-40739
Detecting Influence Structures in Multi-Agent Reinforcement Learning
Fabian Raoul Pieroth, Katherine Fitch, Lenz Belzner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40740-40761
Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas
Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40762-40794
Structure-based drug design by denoising voxel grids
Pedro O. Pinheiro, Arian Rokkum Jamasb, Omar Mahmood, Vishnu Sresht, Saeed Saremi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40795-40812
Extracting Training Data From Document-Based VQA Models
Francesco Pinto, Nathalie Rauschmayr, Florian Tramèr, Philip Torr, Federico Tombari; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40813-40826
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
Zoe Piran, Michal Klein, James Thornton, Marco Cuturi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40827-40842
diff History for Neural Language Agents
Ulyana Piterbarg, Lerrel Pinto, Rob Fergus; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40843-40868
Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach
Anton Plaksin, Vitaly Kalev; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40869-40885
Adaptive Conformal Inference by Betting
Aleksandr Podkopaev, Dong Xu, Kuang-Chih Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40886-40907
Mechanistic Design and Scaling of Hybrid Architectures
Michael Poli, Armin W Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian Hie, Stefano Ermon, Christopher Re, Ce Zhang, Stefano Massaroli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40908-40950
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela Van Der Schaar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40951-40981
Robust Data-driven Prescriptiveness Optimization
Mehran Poursoltani, Erick Delage, Angelos Georghiou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:40982-40999
Stochastic Optimization with Arbitrary Recurrent Data Sampling
William Powell, Hanbaek Lyu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41000-41038
Learning Multiple Secrets in Mastermind
Milind Prabhu, David Woodruff; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41039-41051
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation
K R Prajwal, Bowen Shi, Matthew Le, Apoorv Vyas, Andros Tjandra, Mahi Luthra, Baishan Guo, Huiyu Wang, Triantafyllos Afouras, David Kant, Wei-Ning Hsu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41052-41063
The Entropy Enigma: Success and Failure of Entropy Minimization
Ori Press, Ravid Shwartz-Ziv, Yann Lecun, Matthias Bethge; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41064-41085
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)
Drew Prinster, Samuel Don Stanton, Anqi Liu, Suchi Saria; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41086-41118
Autoencoding Conditional Neural Processes for Representation Learning
Victor Prokhorov, Ivan Titov, Siddharth N; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41119-41143
Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling
Danil Provodin, Maurits Clemens Kaptein, Mykola Pechenizkiy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41144-41162
Learning a Diffusion Model Policy from Rewards via Q-Score Matching
Michael Psenka, Alejandro Escontrela, Pieter Abbeel, Yi Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41163-41182
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation
Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41183-41203
Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images
Bin Pu, Xingguo Lv, Jiewen Yang, He Guannan, Xingbo Dong, Yiqun Lin, Li Shengli, Tan Ying, Liu Fei, Ming Chen, Zhe Jin, Kenli Li, Xiaomeng Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41204-41220
Amortizing Pragmatic Program Synthesis with Rankings
Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam, Elena Glassman, Daniel Fried; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41221-41234
Learning to Remove Cuts in Integer Linear Programming
Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41235-41255
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
Denys Pushkin, Raphaël Berthier, Emmanuel Abbe; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41256-41279
Hierarchical Novelty Detection via Fine-Grained Evidence Allocation
Spandan Pyakurel, Qi Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41280-41302
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
Shi-Ang Qi, Yakun Yu, Russell Greiner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41303-41339
Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning
Long Qian, Juncheng Li, Yu Wu, Yaobo Ye, Hao Fei, Tat-Seng Chua, Yueting Zhuang, Siliang Tang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41340-41356
ByMI: Byzantine Machine Identification with False Discovery Rate Control
Chengde Qian, Mengyuan Wang, Haojie Ren, Changliang Zou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41357-41382
Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation
Yu-Yang Qian, Peng Zhao, Yu-Jie Zhang, Masashi Sugiyama, Zhi-Hua Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41383-41415
Ensemble Pruning for Out-of-distribution Generalization
Fengchun Qiao, Xi Peng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41416-41429
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
Dan Qiao, Yu-Xiang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41430-41455
ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision
Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41456-41472
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41473-41497
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41498-41516
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention
Zhen Qin, Weigao Sun, Dong Li, Xuyang Shen, Weixuan Sun, Yiran Zhong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41517-41535
Feasible Reachable Policy Iteration
Shentao Qin, Yujie Yang, Yao Mu, Jie Li, Wenjun Zou, Jingliang Duan, Shengbo Eben Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41536-41556
Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
Zirou Qiu, Abhijin Adiga, Madhav Marathe, S. S. Ravi, Daniel Rosenkrantz, Richard Stearns, Anil Kumar Vullikanti; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41557-41581
Learning High-Order Relationships of Brain Regions
Weikang Qiu, Huangrui Chu, Selena Wang, Haolan Zuo, Xiaoxiao Li, Yize Zhao, Rex Ying; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41582-41603
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
Zi-Hao Qiu, Siqi Guo, Mao Xu, Tuo Zhao, Lijun Zhang, Tianbao Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41604-41643
Transferring Knowledge From Large Foundation Models to Small Downstream Models
Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Bernie Wang, Andrew Gordon Wilson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41644-41657
Complexity Matters: Feature Learning in the Presence of Spurious Correlations
Guanwen Qiu, Da Kuang, Surbhi Goel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41658-41697
Compute Better Spent: Replacing Dense Layers with Structured Matrices
Shikai Qiu, Andres Potapczynski, Marc Anton Finzi, Micah Goldblum, Andrew Gordon Wilson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41698-41716
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
Ruizhong Qiu, Hanghang Tong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41717-41748
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41749-41768
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
Helen Qu, Sang Michael Xie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41769-41786
Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation
Guorui Quan, Zhiqiang Xu, Guiliang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41787-41803
Augmenting Decision with Hypothesis in Reinforcement Learning
Nguyen Minh Quang, Hady W. Lauw; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41804-41820
Multiply-Robust Causal Change Attribution
Victor Quintas-Martinez, Mohammad Taha Bahadori, Eduardo Santiago, Jeff Mu, David Heckerman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41821-41840
Decomposable Submodular Maximization in Federated Setting
Akbar Rafiey; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41841-41866
A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
Sharath Raghvendra, Pouyan Shirzadian, Kaiyi Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41867-41885
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference
Md Musfiqur Rahman, Murat Kocaoglu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41886-41926
Fundamental Limits of Distributed Covariance Matrix Estimation Under Communication Constraints
Mohammad Reza Rahmani, Mohammad Hossein Yassaee, Mohammad Ali Maddah-Ali, Mohammad Reza Aref; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41927-41958
Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation
Ossi Räisä, Joonas Jälkö, Antti Honkela; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41959-41981
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization
Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik, Samir Garibov, Eddie Bergman, Frank Hutter; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41982-42008
Understanding Inter-Concept Relationships in Concept-Based Models
Naveen Janaki Raman, Mateo Espinosa Zarlenga, Mateja Jamnik; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42009-42025
STEER: Assessing the Economic Rationality of Large Language Models
Narun Krishnamurthi Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42026-42047
WARM: On the Benefits of Weight Averaged Reward Models
Alexandre Rame, Nino Vieillard, Leonard Hussenot, Robert Dadashi-Tazehozi, Geoffrey Cideron, Olivier Bachem, Johan Ferret; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42048-42073
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
Rahul Ramesh, Ekdeep Singh Lubana, Mikail Khona, Robert P. Dick, Hidenori Tanaka; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42074-42103
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
Aditya Ramesh, Kenny John Young, Louis Kirsch, Jürgen Schmidhuber; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42104-42126
Position: The Reasonable Person Standard for AI
Sunayana Rane; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42127-42137
Generalization to New Sequential Decision Making Tasks with In-Context Learning
Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42138-42158
Challenges in Training PINNs: A Loss Landscape Perspective
Pratik Rathore, Weimu Lei, Zachary Frangella, Lu Lu, Madeleine Udell; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42159-42191
Unveiling Privacy, Memorization, and Input Curvature Links
Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42192-42212
Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion
Ishaan Singh Rawal, Alexander Matyasko, Shantanu Jaiswal, Basura Fernando, Cheston Tan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42213-42244
Fair Federated Learning via the Proportional Veto Core
Bhaskar Ray Chaudhury, Aniket Murhekar, Zhuowen Yuan, Bo Li, Ruta Mehta, Ariel D. Procaccia; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42245-42257
Provably Robust DPO: Aligning Language Models with Noisy Feedback
Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42258-42274
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42275-42331
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization
Sam Reifenstein, Timothee Leleu, Yoshihisa Yamamoto; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42332-42364
Position: Understanding LLMs Requires More Than Statistical Generalization
Patrik Reizinger, Szilvia Ujváry, Anna Mészáros, Anna Kerekes, Wieland Brendel, Ferenc Huszár; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42365-42390
Optimal Batched Linear Bandits
Xuanfei Ren, Tianyuan Jin, Pan Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42391-42416
TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules
Weijieying Ren, Xiaoting Li, Huiyuan Chen, Vineeth Rakesh, Zhuoyi Wang, Mahashweta Das, Vasant G Honavar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42417-42427
Hybrid Inverse Reinforcement Learning
Juntao Ren, Gokul Swamy, Steven Wu, Drew Bagnell, Sanjiban Choudhury; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42428-42448
Rejuvenating image-GPT as Strong Visual Representation Learners
Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan Yuille, Cihang Xie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42449-42461
CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
Milong Ren, Tian Zhu, Haicang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42462-42483
Plug-and-Play image restoration with Stochastic deNOising REgularization
Marien Renaud, Jean Prost, Arthur Leclaire, Nicolas Papadakis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42484-42520
Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems
Roie Reshef, Kfir Yehuda Levy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42521-42542
Position: Technical Research and Talent is Needed for Effective AI Governance
Anka Reuel, Lisa Soder, Benjamin Bucknall, Trond Arne Undheim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42543-42557
SparQ Attention: Bandwidth-Efficient LLM Inference
Luka Ribar, Ivan Chelombiev, Luke Hudlass-Galley, Charlie Blake, Carlo Luschi, Douglas Orr; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42558-42583
Early Time Classification with Accumulated Accuracy Gap Control
Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42584-42600
Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
Zachary Robertson, Sanmi Koyejo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42601-42619
Universal Gradient Methods for Stochastic Convex Optimization
Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42620-42646
Position: Key Claims in LLM Research Have a Long Tail of Footnotes
Anna Rogers, Sasha Luccioni; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42647-42665
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42666-42690
Position: Mission Critical – Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42691-42706
Position: Application-Driven Innovation in Machine Learning
David Rolnick, Alan Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42707-42718
One-Shot Strategic Classification Under Unknown Costs
Elan Rosenfeld, Nir Rosenfeld; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42719-42741
Modelling Microbial Communities with Graph Neural Networks
Albane Ruaud, Cansu Sancaktar, Marco Bagatella, Christoph Ratzke, Georg Martius; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42742-42765
Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving
Alexander Rudikov, Vladimir Fanaskov, Ekaterina Muravleva, Yuri M. Laevsky, Ivan Oseledets; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42766-42782
Position: Amazing Things Come From Having Many Good Models
Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42783-42795
Generalizing Orthogonalization for Models with Non-Linearities
David Rügamer, Chris Kolb, Tobias Weber, Lucas Kook, Thomas Nagler; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42796-42817
Rolling Diffusion Models
David Ruhe, Jonathan Heek, Tim Salimans, Emiel Hoogeboom; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42818-42835
Explorations of Self-Repair in Language Models
Cody Rushing, Neel Nanda; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42836-42855
Gambling-Based Confidence Sequences for Bounded Random Vectors
Jongha Jon Ryu, Gregory W. Wornell; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42856-42869
Operator SVD with Neural Networks via Nested Low-Rank Approximation
Jongha Jon Ryu, Xiangxiang Xu, Hasan Sabri Melihcan Erol, Yuheng Bu, Lizhong Zheng, Gregory W. Wornell; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42870-42905
Tandem Transformers for Inference Efficient LLMs
Aishwarya P S, Pranav Ajit Nair, Yashas Samaga B L, Toby James Boyd, Sanjiv Kumar, Prateek Jain, Praneeth Netrapalli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42906-42917
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT
Jon Saad-Falcon, Daniel Y Fu, Simran Arora, Neel Guha, Christopher Re; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42918-42946
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42947-42975
Fast Adversarial Attacks on Language Models In One GPU Minute
Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan, Priyatham Kattakinda, Atoosa Chegini, Soheil Feizi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42976-42998
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
Som Sagar, Aditya Taparia, Ransalu Senanayake; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42999-43023
I/O Complexity of Attention, or How Optimal is FlashAttention?
Barna Saha, Christopher Ye; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43024-43042
An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
Emre Sahinoglu, Shahin Shahrampour; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43043-43059
Second-Order Uncertainty Quantification: A Distance-Based Approach
Yusuf Sale, Viktor Bengs, Michele Caprio, Eyke Hüllermeier; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43060-43076
Learning from Integral Losses in Physics Informed Neural Networks
Ehsan Saleh, Saba Ghaffari, Tim Bretl, Luke Olson, Matthew West; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43077-43111
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
Sudeep Salgia, Sattar Vakili, Qing Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43112-43141
Predictive Coding beyond Correlations
Tommaso Salvatori, Luca Pinchetti, Amine M’Charrak, Beren Millidge, Thomas Lukasiewicz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43142-43179
Proactive Detection of Voice Cloning with Localized Watermarking
Robin San Roman, Pierre Fernandez, Hady Elsahar, Alexandre Défossez, Teddy Furon, Tuan Tran; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43180-43196
Stay on Topic with Classifier-Free Guidance
Guillaume Sanchez, Alexander Spangher, Honglu Fan, Elad Levi, Stella Biderman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43197-43234
How do Transformers Perform In-Context Autoregressive Learning ?
Michael Eli Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43235-43254
Differentially Private Representation Learning via Image Captioning
Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Oliviero Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43255-43275
Transformers, parallel computation, and logarithmic depth
Clayton Sanford, Daniel Hsu, Matus Telgarsky; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43276-43327
Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation
Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43328-43345
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43346-43367
Sparse and Structured Hopfield Networks
Saul José Rodrigues Dos Santos, Vlad Niculae, Daniel C Mcnamee, Andre Martins; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43368-43388
Meta Evidential Transformer for Few-Shot Open-Set Recognition
Hitesh Sapkota, Krishna Prasad Neupane, Qi Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43389-43406
EvIL: Evolution Strategies for Generalisable Imitation Learning
Silvia Sapora, Gokul Swamy, Chris Lu, Yee Whye Teh, Jakob Nicolaus Foerster; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43407-43421
A sampling theory perspective on activations for implicit neural representations
Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43422-43444
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Nikhil Sardana, Jacob Portes, Sasha Doubov, Jonathan Frankle; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43445-43460
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
M. Saquib Sarfraz, Mei-Yen Chen, Lukas Layer, Kunyu Peng, Marios Koulakis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43461-43476
A fast algorithm to simulate nonlinear resistive networks
Benjamin Scellier; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43477-43503
A Fixed-Point Approach for Causal Generative Modeling
Meyer Scetbon, Joel Jennings, Agrin Hilmkil, Cheng Zhang, Chao Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43504-43541
MoMo: Momentum Models for Adaptive Learning Rates
Fabian Schaipp, Ruben Ohana, Michael Eickenberg, Aaron Defazio, Robert M. Gower; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43542-43570
Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
Philip Schär, Michael Habeck, Daniel Rudolf; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43571-43607
Incentivized Learning in Principal-Agent Bandit Games
Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, Eric Moulines, Michael Jordan, El-Mahdi El-Mhamdi, Alain Oliviero Durmus; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43608-43631
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
Yair Schiff, Chia Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43632-43648
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
Yair Schiff, Zhong Yi Wan, Jeffrey B. Parker, Stephan Hoyer, Volodymyr Kuleshov, Fei Sha, Leonardo Zepeda-Núñez; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43649-43684
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Christian Schlarmann, Naman Deep Singh, Francesco Croce, Matthias Hein; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43685-43704
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
Johann Schmidt, Sebastian Stober; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43705-43722
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
Marvin Schmitt, Desi R. Ivanova, Daniel Habermann, Ullrich Koethe, Paul-Christian Bürkner, Stefan T. Radev; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43723-43741
Regularized Q-learning through Robust Averaging
Peter Schmitt-Förster, Tobias Sutter; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43742-43764
Implicit Representations for Constrained Image Segmentation
Jan Philipp Schneider, Mishal Fatima, Jovita Lukasik, Andreas Kolb, Margret Keuper, Michael Moeller; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43765-43790
Online Learning with Bounded Recall
Jon Schneider, Kiran Vodrahalli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43791-43803
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
Henrik Schopmans, Pascal Friederich; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43804-43827
Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization
Liam Schramm, Abdeslam Boularias; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43828-43861
Asymptotics of Learning with Deep Structured (Random) Features
Dominik Schröder, Daniil Dmitriev, Hugo Cui, Bruno Loureiro; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43862-43894
Simultaneous identification of models and parameters of scientific simulators
Cornelius Schröder, Jakob H. Macke; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43895-43927
In-Context Learning Agents Are Asymmetric Belief Updaters
Johannes A. Schubert, Akshay Kumar Jagadish, Marcel Binz, Eric Schulz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43928-43946
Towards Scalable and Versatile Weight Space Learning
Konstantin Schürholt, Michael W. Mahoney, Damian Borth; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43947-43966
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
Jonas Schweisthal, Dennis Frauen, Mihaela Van Der Schaar, Stefan Feuerriegel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43967-43985
Differentiability and Optimization of Multiparameter Persistent Homology
Luis Scoccola, Siddharth Setlur, David Loiseaux, Mathieu Carrière, Steve Oudot; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43986-44011
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials
Jonathan Scott, Áine Cahill; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44012-44037
MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
Paul Steven Scotti, Mihir Tripathy, Cesar Torrico, Reese Kneeland, Tong Chen, Ashutosh Narang, Charan Santhirasegaran, Jonathan Xu, Thomas Naselaris, Kenneth A. Norman, Tanishq Mathew Abraham; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44038-44059
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44060-44092
Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!
Milad Sefidgaran, Romain Chor, Abdellatif Zaidi, Yijun Wan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44093-44135
Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
Bilgehan Sel, Ahmad Tawaha, Vanshaj Khattar, Ruoxi Jia, Ming Jin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44136-44189
Retrieval-Augmented Score Distillation for Text-to-3D Generation
Junyoung Seo, Susung Hong, Wooseok Jang, Inès Hyeonsu Kim, Min-Seop Kwak, Doyup Lee, Seungryong Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44190-44211
Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
Hyunki Seong, Hyunchul Shim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44212-44223
Prompting is a Double-Edged Sword: Improving Worst-Group Robustness of Foundation Models
Amrith Setlur, Saurabh Garg, Virginia Smith, Sergey Levine; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44224-44243
Decomposing and Editing Predictions by Modeling Model Computation
Harshay Shah, Andrew Ilyas, Aleksander Madry; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44244-44292
A Multimodal Automated Interpretability Agent
Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44293-44321
Evaluation of Trajectory Distribution Predictions with Energy Score
Novin Shahroudi, Mihkel Lepson, Meelis Kull; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44322-44341
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam, Simon Korman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44342-44357
DNCs Require More Planning Steps
Yara Shamshoum, Nitzan Hodos, Yuval Sieradzki, Assaf Schuster; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44358-44377
Improved Generalization of Weight Space Networks via Augmentations
Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44378-44393
On Online Experimentation without Device Identifiers
Shiv Shankar, Ritwik Sinha, Madalina Fiterau; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44394-44412
Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes
Weijia Shao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44413-44428
On Multi-Armed Bandit with Impatient Arms
Yuming Shao, Zhixuan Fang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44429-44473
Language Generation with Strictly Proper Scoring Rules
Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44474-44488
Learning Decision Policies with Instrumental Variables through Double Machine Learning
Daqian Shao, Ashkan Soleymani, Francesco Quinzan, Marta Kwiatkowska; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44489-44514
How Far Can Fairness Constraints Help Recover From Biased Data?
Mohit Sharma, Amit Deshpande; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44515-44544
Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation
Kartik Sharma, Srijan Kumar, Rakshit Trivedi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44545-44564
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
Louis Sharrock, Jack Simons, Song Liu, Mark Beaumont; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44565-44602
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali Thabet, Albert Pumarola, Yaron Lipman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44603-44627
Reducing sequential change detection to sequential estimation
Shubhanshu Shekhar, Aaditya Ramdas; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44628-44642
Exploring the Complexity of Deep Neural Networks through Functional Equivalence
Guohao Shen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44643-44664
Variational Learning is Effective for Large Deep Networks
Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Bazan Clement Emile Marcel Raoul, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44665-44686
Thermometer: Towards Universal Calibration for Large Language Models
Maohao Shen, Subhro Das, Kristjan Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44687-44711
Position: Do pretrained Transformers Learn In-Context by Gradient Descent?
Lingfeng Shen, Aayush Mishra, Daniel Khashabi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44712-44740
Adaptive Stabilization Based on Machine Learning for Column Generation
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew Eberhard, Guangquan Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44741-44758
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
Junhong Shen, Neil Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolo Fusi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44759-44773
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
Han Shen, Zhuoran Yang, Tianyi Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44774-44799
ReLUs Are Sufficient for Learning Implicit Neural Representations
Joseph Shenouda, Yamin Zhou, Robert D Nowak; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44800-44814
Rate-Optimal Policy Optimization for Linear Markov Decision Processes
Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44815-44837
Double Momentum Method for Lower-Level Constrained Bilevel Optimization
Wanli Shi, Yi Chang, Bin Gu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44838-44864
OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
Liangliang Shi, Jack Fan, Junchi Yan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44865-44886
LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies
Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44887-44908
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44909-44959
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
Dachuan Shi, Chaofan Tao, Anyi Rao, Zhendong Yang, Chun Yuan, Jiaqi Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44960-44990
Why Larger Language Models Do In-context Learning Differently?
Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44991-45013
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yu-Feng Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45014-45039
Neural-Kernel Conditional Mean Embeddings
Eiki Shimizu, Kenji Fukumizu, Dino Sejdinovic; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45040-45059
Causal Discovery with Fewer Conditional Independence Tests
Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45060-45078
Statistical Test for Attention Maps in Vision Transformers
Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45079-45096
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
Toru Shirakawa, Yi Li, Yulun Wu, Sky Qiu, Yuxuan Li, Mingduo Zhao, Hiroyasu Iso, Mark J. Van Der Laan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45097-45113
Allocation Requires Prediction Only if Inequality Is Low
Ali Shirali, Rediet Abebe, Moritz Hardt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45114-45153
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
Shirin Shoushtari, Jiaming Liu, Edward P. Chandler, M. Salman Asif, Ulugbek S. Kamilov; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45154-45182
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
Youwei Shu, Xi Xiao, Derui Wang, Yuxin Cao, Siji Chen, Jason Xue, Linyi Li, Bo Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45183-45227
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer
Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh Ap, Vaibhav Rajan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45228-45243
TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression
Megh Shukla, Mathieu Salzmann, Alexandre Alahi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45244-45257
Towards a Better Theoretical Understanding of Independent Subnetwork Training
Egor Shulgin, Peter Richtárik; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45258-45285
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45286-45314
Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation
Sergei Shumilin, Alexander Ryabov, Nikolay Yavich, Evgeny Burnaev, Vladimir Vanovskiy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45315-45328
IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics
Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45329-45352
InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation
Jacob Yoke Hong Si, Wendy Yusi Cheng, Michael Cooper, Rahul Krishnan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45353-45405
Embarrassingly Parallel GFlowNets
Tiago Silva, Luiz Max Carvalho, Amauri H Souza, Samuel Kaski, Diego Mesquita; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45406-45431
On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation
Álvaro Labarca Silva, Denis Parra, Rodrigo Toro Icarte; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45432-45450
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
Thalles Silva, Helio Pedrini, Adı́n Ramı́rez Rivera; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45451-45467
Deletion-Anticipative Data Selection with a Limited Budget
Rachael Hwee Ling Sim, Jue Fan, Xiao Tian, Patrick Jaillet, Bryan Kian Hsiang Low; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45468-45507
Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research
Riley Simmons-Edler, Ryan Paul Badman, Shayne Longpre, Kanaka Rajan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45508-45524
Latent variable model for high-dimensional point process with structured missingness
Maksim Sinelnikov, Manuel Haussmann, Harri Lähdesmäki; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45525-45543
Domain Generalisation via Imprecise Learning
Anurag Singh, Siu Lun Chau, Shahine Bouabid, Krikamol Muandet; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45544-45570
Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation
Rahul Singh, Akshay Mete, Avik Kar, Panganamala Kumar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45571-45636
What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Aaditya K Singh, Ted Moskovitz, Felix Hill, Stephanie C.Y. Chan, Andrew M Saxe; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45637-45662
Representation Surgery: Theory and Practice of Affine Steering
Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45663-45680
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling
Utsav Singh, Wesley A Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Bedi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45681-45695
Byzantine Resilient and Fast Federated Few-Shot Learning
Ankit Pratap Singh, Namrata Vaswani; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45696-45706
Parallelized Spatiotemporal Slot Binding for Videos
Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45707-45733
What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions
Raghav Singhal, Mark Goldstein, Rajesh Ranganath; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45734-45758
SAPG: Split and Aggregate Policy Gradients
Jayesh Singla, Ananye Agarwal, Deepak Pathak; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45759-45772
In-Context Reinforcement Learning for Variable Action Spaces
Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45773-45793
Subhomogeneous Deep Equilibrium Models
Pietro Sittoni, Francesco Tudisco; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45794-45812
Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing
Amutheezan Sivagnanam, Ava Pettet, Hunter Lee, Ayan Mukhopadhyay, Abhishek Dubey, Aron Laszka; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45813-45834
Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints
Oscar Smee, Fred Roosta; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45835-45882
Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs
Andries Petrus Smit, Nathan Grinsztajn, Paul Duckworth, Thomas D Barrett, Arnu Pretorius; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45883-45905
Probabilistic Modeling of Interpersonal Coordination Processes
Paulo Soares, Adarsh Pyarelal, Meghavarshini Krishnaswamy, Emily Butler, Kobus Barnard; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45906-45921
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization
Motahareh Sohrabi, Juan Ramirez, Tianyue H. Zhang, Simon Lacoste-Julien, Jose Gallego-Posada; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45922-45954
SPADE: Sparsity-Guided Debugging for Deep Neural Networks
Arshia Soltani Moakhar, Eugenia Iofinova, Elias Frantar, Dan Alistarh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45955-45987
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou, Ludwig Bothmann, Bernd Bischl, David Rügamer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45988-46018
Hybrid Reinforcement Learning from Offline Observation Alone
Yuda Song, Drew Bagnell, Aarti Singh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46019-46049
Multimodal Prototyping for cancer survival prediction
Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag Jayant Vaidya, Alexander Baras, Faisal Mahmood; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46050-46073
SurfPro: Functional Protein Design Based on Continuous Surface
Zhenqiao Song, Tinglin Huang, Lei Li, Wengong Jin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46074-46088
OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos
Ziyang Song, Jinxi Li, Bo Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46089-46120
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
Weixi Song, Zuchao Li, Lefei Zhang, Hai Zhao, Bo Du; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46121-46135
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
Jiwon Song, Kyungseok Oh, Taesu Kim, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46136-46155
Unveiling the Dynamics of Information Interplay in Supervised Learning
Kun Song, Zhiquan Tan, Bochao Zou, Huimin Ma, Weiran Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46156-46167
Position: Leverage Foundational Models for Black-Box Optimization
Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46168-46180
Rich-Observation Reinforcement Learning with Continuous Latent Dynamics
Yuda Song, Lili Wu, Dylan J Foster, Akshay Krishnamurthy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46181-46237
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46238-46258
Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates
Zhenqiao Song, Yunlong Zhao, Wenxian Shi, Wengong Jin, Yang Yang, Lei Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46259-46279
Position: A Roadmap to Pluralistic Alignment
Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46280-46302
Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy
Lucas Spangher, Allen M. Wang, Andrew Maris, Myles Stapelberg, Viraj Mehta, Alex Saperstein, Stephen Lane-Walsh, Akshata Kishore Moharir, Alessandro Pau, Cristina Rea; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46303-46322
Offline Actor-Critic Reinforcement Learning Scales to Large Models
Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Maria Elisabeth Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin Riedmiller; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46323-46350
CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback
Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, Sutanay Choudhury; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46351-46374
Contextual Feature Selection with Conditional Stochastic Gates
Ram Dyuthi Sristi, Ofir Lindenbaum, Shira Lifshitz, Maria Lavzin, Jackie Schiller, Gal Mishne, Hadas Benisty; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46375-46392
The Fundamental Limits of Least-Privilege Learning
Theresa Stadler, Bogdan Kulynych, Michael Gastpar, Nicolas Papernot, Carmela Troncoso; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46393-46411
Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
Jan Pawel Stanczuk, Georgios Batzolis, Teo Deveney, Carola-Bibiane Schönlieb; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46412-46440
Grokking Group Multiplication with Cosets
Dashiell Stander, Qinan Yu, Honglu Fan, Stella Biderman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46441-46467
Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design
Hannes Stark, Bowen Jing, Regina Barzilay, Tommi Jaakkola; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46468-46494
Dirichlet Flow Matching with Applications to DNA Sequence Design
Hannes Stark, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi Jaakkola; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46495-46513
Partial Optimality in the Linear Ordering Problem
David Stein, Bjoern Andres; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46514-46529
Towards Compositionality in Concept Learning
Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46530-46555
Learning to Intervene on Concept Bottlenecks
David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46556-46571
QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning
Gabriel Stella, Dmitri Loguinov; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46572-46590
Private Truly-Everlasting Robust-Prediction
Uri Stemmer; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46591-46604
ReGAL: Refactoring Programs to Discover Generalizable Abstractions
Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46605-46624
RLVF: Learning from Verbal Feedback without Overgeneralization
Moritz Pascal Stephan, Alexander Khazatsky, Eric Mitchell, Annie S Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46625-46656
Causal Inference from Competing Treatments
Ana-Andreea Stoica, Vivian Yvonne Nastl, Moritz Hardt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46657-46691
Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints
Francesco Emanuele Stradi, Jacopo Germano, Gianmarco Genalti, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46692-46721
Designing Decision Support Systems using Counterfactual Prediction Sets
Eleni Straitouri, Manuel Gomez Rodriguez; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46722-46744
DéjàVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving
Foteini Strati, Sara Mcallister, Amar Phanishayee, Jakub Tarnawski, Ana Klimovic; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46745-46771
Learning from Streaming Data when Users Choose
Jinyan Su, Sarah Dean; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46772-46803
From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation
Kun Su, Xiulong Liu, Eli Shlizerman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46804-46822
Compositional Image Decomposition with Diffusion Models
Jocelin Su, Nan Liu, Yanbo Wang, Joshua B. Tenenbaum, Yilun Du; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46823-46842
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models
Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodriguez; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46843-46867
Revealing Vision-Language Integration in the Brain with Multimodal Networks
Vighnesh Subramaniam, Colin Conwell, Christopher Wang, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46868-46890
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
Arjun Subramonian, Levent Sagun, Yizhou Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46891-46925
Enforcing Constraints in RNA Secondary Structure Predictions: A Post-Processing Framework Based on the Assignment Problem
Geewon Suh, Gyeongjo Hwang, Seokjun Kang, Doojin Baek, Mingeun Kang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46926-46941
ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance
Liwen Sun, Abhineet Agarwal, Aaron Kornblith, Bin Yu, Chenyan Xiong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46942-46956
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents
Chung-En Sun, Sicun Gao, Tsui-Wei Weng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46957-46987
Representing Molecules as Random Walks Over Interpretable Grammars
Michael Sun, Minghao Guo, Weize Yuan, Veronika Thost, Crystal Elaine Owens, Aristotle Franklin Grosz, Sharvaa Selvan, Katelyn Zhou, Hassan Mohiuddin, Benjamin J Pedretti, Zachary P Smith, Jie Chen, Wojciech Matusik; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:46988-47016
Constrained Reinforcement Learning Under Model Mismatch
Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47017-47032
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47033-47055
Online Algorithms with Uncertainty-Quantified Predictions
Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Raouf Boutaba; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47056-47077
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47078-47104
Online Adaptive Anomaly Thresholding with Confidence Sequences
Sophia Huiwen Sun, Abishek Sankararaman, Balakrishnan Murali Narayanaswamy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47105-47132
Learning Graph Representation via Graph Entropy Maximization
Ziheng Sun, Xudong Wang, Chris Ding, Jicong Fan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47133-47158
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R Roth; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47159-47173
Regression Learning with Limited Observations of Multivariate Outcomes and Features
Yifan Sun, Grace Yi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47174-47197
video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models
Guangzhi Sun, Wenyi Yu, Changli Tang, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Yuxuan Wang, Chao Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47198-47217
Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding
Chuanhao Sun, Zhihang Yuan, Kai Xu, Luo Mai, Siddharth N, Shuo Chen, Mahesh K. Marina; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47218-47233
Learning Latent Dynamic Robust Representations for World Models
Ruixiang Sun, Hongyu Zang, Xin Li, Riashat Islam; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47234-47260
Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources
Yi-Xuan Sun, Ya-Lin Zhang, Bin Han, Longfei Li, Jun Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47261-47279
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47280-47304
On a Combinatorial Problem Arising in Machine Teaching
Joakim Sunde, Brigt Håvardstun, Jan Kratochvı́l, Jan Arne Telle; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47305-47313
Interpretable Deep Clustering for Tabular Data
Jonathan Svirsky, Ofir Lindenbaum; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47314-47330
Reinforcement Learning from Reachability Specifications: PAC Guarantees with Expected Conditional Distance
Jakub Svoboda, Suguman Bansal, Krishnendu Chatterjee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47331-47344
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
Gokul Swamy, Christoph Dann, Rahul Kidambi, Steven Wu, Alekh Agarwal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47345-47377
Fast Sampling-Based Sketches for Tensors
William Joseph Swartworth, David Woodruff; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47378-47395
Sample Complexity Bounds for Estimating Probability Divergences under Invariances
Behrooz Tahmasebi, Stefanie Jegelka; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47396-47417
A Universal Class of Sharpness-Aware Minimization Algorithms
Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri, Stefanie Jegelka, Patrick Jaillet; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47418-47440
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
Fahim Tajwar, Anikait Singh, Archit Sharma, Rafael Rafailov, Jeff Schneider, Tengyang Xie, Stefano Ermon, Chelsea Finn, Aviral Kumar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47441-47474
Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective
Shokichi Takakura, Taiji Suzuki; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47475-47509
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47510-47534
Codebook Features: Sparse and Discrete Interpretability for Neural Networks
Alex Tamkin, Mohammad Taufeeque, Noah Goodman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47535-47563
Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective
Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47564-47578
Community-Invariant Graph Contrastive Learning
Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47579-47606
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning
Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47607-47626
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem
Zhentao Tan, Yadong Mu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47627-47648
Information Flow in Self-Supervised Learning
Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan, Yifan Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47649-47666
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
Zhiquan Tan, Kaipeng Zheng, Weiran Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47667-47680
Post-hoc Part-Prototype Networks
Andong Tan, Fengtao Zhou, Hao Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47681-47693
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47694-47724
Generalized Preference Optimization: A Unified Approach to Offline Alignment
Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Remi Munos, Mark Rowland, Pierre Harvey Richemond, Michal Valko, Bernardo Avila Pires, Bilal Piot; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47725-47742
Rethinking Optimization and Architecture for Tiny Language Models
Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47743-47756
Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration
Xiaole Tang, Xin Hu, Xiang Gu, Jian Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47757-47777
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47778-47799
Accelerating Parallel Sampling of Diffusion Models
Zhiwei Tang, Jiasheng Tang, Hao Luo, Fan Wang, Tsung-Hui Chang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47800-47818
Membership Inference Attacks on Diffusion Models via Quantile Regression
Shuai Tang, Steven Wu, Sergul Aydore, Michael Kearns, Aaron Roth; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47819-47829
StrokeNUWA—Tokenizing Strokes for Vector Graphic Synthesis
Zecheng Tang, Chenfei Wu, Zekai Zhang, Minheng Ni, Shengming Yin, Yu Liu, Zhengyuan Yang, Lijuan Wang, Zicheng Liu, Juntao Li, Nan Duan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47830-47845
SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
Yehui Tang, Nianzu Yang, Mabiao Long, Junchi Yan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47846-47864
Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression
Qian Tang, Yikai Zhang, Boxiang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47865-47884
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47885-47900
QUEST: Query-Aware Sparsity for Efficient Long-Context LLM Inference
Jiaming Tang, Yilong Zhao, Kan Zhu, Guangxuan Xiao, Baris Kasikci, Song Han; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47901-47911
MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation
Bowen Tao, Xin-Chun Li, De-Chuan Zhan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47912-47928
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method
Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan Suykens; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47929-47947
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
Damien Teney, Jindong Wang, Ehsan Abbasnejad; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47948-47964
Quantum Positional Encodings for Graph Neural Networks
Slimane Thabet, Mehdi Djellabi, Igor Olegovich Sokolov, Sachin Kasture, Louis-Paul Henry, Loic Henriet; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47965-47996
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency
Vithursan Thangarasa, Shreyas Saxena, Abhay Gupta, Sean Lie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:47997-48018
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
Rahul Thapa, Bryan He, Magnus Ruud Kjaer, Hyatt Moore Iv, Gauri Ganjoo, Emmanuel Mignot, James Zou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48019-48037
Bayesian Adaptation of Network Depth and Width for Continual Learning
Jeevan Thapa, Rui Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48038-48061
Position: What makes an image realistic?
Lucas Theis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48062-48076
A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems
Theo Guyard, Cédric Herzet, Clément Elvira, Ayse-Nur Arslan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48077-48096
Beyond Individual Input for Deep Anomaly Detection on Tabular Data
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48097-48123
Risk Estimation in a Markov Cost Process: Lower and Upper Bounds
Gugan Thoppe, Prashanth L A, Sanjay P. Bhat; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48124-48138
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
Qiwei Tian, Chenhao Lin, Zhengyu Zhao, Qian Li, Chao Shen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48139-48153
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
Hongduan Tian, Feng Liu, Tongliang Liu, Bo Du, Yiu-Ming Cheung, Bo Han; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48154-48185
Liouville Flow Importance Sampler
Yifeng Tian, Nishant Panda, Yen Ting Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48186-48210
Ranking-based Client Imitation Selection for Efficient Federated Learning
Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Cheng-Zhong Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48211-48225
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
Ye Tian, Haolei Weng, Yang Feng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48226-48279
Copula-Nested Spectral Kernel Network
Jinyue Tian, Hui Xue, Yanfang Xue, Pengfei Fang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48280-48294
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
Yunsheng Tian, Ane Zuniga, Xinwei Zhang, Johannes P. Dürholt, Payel Das, Jie Chen, Wojciech Matusik, Mina Konakovic Lukovic; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48295-48320
FRAPPÉ: A Group Fairness Framework for Post-Processing Everything
Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48321-48343
Faster Maximum Inner Product Search in High Dimensions
Mo Tiwari, Ryan Kang, Jaeyong Lee, Donghyun Lee, Christopher J Piech, Sebastian Thrun, Ilan Shomorony, Martin Jinye Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48344-48361
Position: Enforced Amnesia as a Way to Mitigate the Potential Risk of Silent Suffering in the Conscious AI
Yegor Tkachenko; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48362-48368
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
Umberto Maria Tomasini, Matthieu Wyart; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48369-48389
Position: Do Not Explain Vision Models Without Context
Paulina Tomaszewska, Przemyslaw Biecek; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48390-48403
An Analysis of Linear Time Series Forecasting Models
William Toner, Luke Nicholas Darlow; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48404-48427
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
Artur Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48428-48452
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
Florian Tramèr, Gautam Kamath, Nicholas Carlini; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48453-48467
Causal Effect Identification in LiNGAM Models with Latent Confounders
Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48468-48493
Stereographic Spherical Sliced Wasserstein Distances
Huy Tran, Yikun Bai, Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Rocio P Diaz Martin, Soheil Kolouri; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48494-48564
Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments
Allen Tran, Aurelien Bibaut, Nathan Kallus; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48565-48577
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal, Goran Radanovic; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48578-48607
Editing Partially Observable Networks via Graph Diffusion Models
Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48608-48629
QuIP$#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
Albert Tseng, Jerry Chee, Qingyao Sun, Volodymyr Kuleshov, Christopher De Sa; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48630-48656
Predictive Linear Online Tracking for Unknown Targets
Anastasios Tsiamis, Aren Karapetyan, Yueshan Li, Efe C. Balta, John Lygeros; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48657-48694
Overcoming the Optimizer’s Curse: Obtaining Realistic Prescriptions from Neural Networks
Asterios Tsiourvas, Georgia Perakis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48695-48712
Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
Asterios Tsiourvas, Wei Sun, Georgia Perakis, Pin-Yu Chen, Yada Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48713-48727
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
Nikita Tsoy, Nikola Konstantinov; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48728-48767
Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring
Taira Tsuchiya, Shinji Ito, Junya Honda; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48768-48790
An Empirical Study Into What Matters for Calibrating Vision-Language Models
Weijie Tu, Weijian Deng, Dylan Campbell, Stephen Gould, Tom Gedeon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48791-48808
Coactive Learning for Large Language Models using Implicit User Feedback
Aaron David Tucker, Kianté Brantley, Adam Cahall, Thorsten Joachims; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48809-48822
An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems
Hitesh Tulsiani, David Chan, Shalini Ghosh, Garima Lalwani, Prabhat Pandey, Ankish Bansal, Sri Garimella, Ariya Rastrow, Björn Hoffmeister; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48823-48836
ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data
Carmen Martin Turrero, Maxence Bouvier, Manuel Breitenstein, Pietro Zanuttigh, Vincent Parret; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48837-48854
Matroid Semi-Bandits in Sublinear Time
Ruo-Chun Tzeng, Naoto Ohsaka, Kaito Ariu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48855-48877
Improving Antibody Humanness Prediction using Patent Data
Talip Ucar, Aubin Ramon, Dino Oglic, Rebecca Croasdale-Wood, Tom Diethe, Pietro Sormanni; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48878-48891
Feedback Efficient Online Fine-Tuning of Diffusion Models
Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M Tseng, Sergey Levine, Tommaso Biancalani; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48892-48918
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function
Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48919-48937
Reward-Free Kernel-Based Reinforcement Learning
Sattar Vakili, Farhang Nabiei, Da-Shan Shiu, Alberto Bernacchia; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48938-48956
Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
Michael Valancius, Maxwell Lennon, Junier Oliva; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48957-48975
Position: Why Tabular Foundation Models Should Be a Research Priority
Boris Van Breugel, Mihaela Van Der Schaar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48976-48993
Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach
Mim Van Den Bos, Jacobus G. M. Van Der Linden, Emir Demirović; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48994-49007
Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models
Jan Van Den Brand, Zhao Song, Tianyi Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49008-49028
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
Marten Van Dijk, Nhuong Van Nguyen, Toan N. Nguyen, Lam M. Nguyen, Phuong Ha Nguyen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49029-49077
On the Independence Assumption in Neurosymbolic Learning
Emile Van Krieken, Pasquale Minervini, Edoardo Ponti, Antonio Vergari; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49078-49097
When Representations Align: Universality in Representation Learning Dynamics
Loek Van Rossem, Andrew M Saxe; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49098-49121
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
Ankit Vani, Frederick Tung, Gabriel L. Oliveira, Hossein Sharifi-Noghabi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49122-49136
Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes
Daniil Vankov, Angelia Nedich, Lalitha Sankar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49137-49170
Discovering Mixtures of Structural Causal Models from Time Series Data
Sumanth Varambally, Yian Ma, Rose Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49171-49202
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
Elen Vardanyan, Sona Hunanyan, Tigran Galstyan, Arshak Minasyan, Arnak S. Dalalyan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49203-49225
Optimization without Retraction on the Random Generalized Stiefel Manifold
Simon Vary, Pierre Ablin, Bin Gao, Pierre-Antoine Absil; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49226-49248
A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs
Lars Veefkind, Gabriele Cesa; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49249-49309
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features
Rodrigo Veiga, Anastasia Remizova, Nicolas Macris; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49310-49344
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49345-49367
Code as Reward: Empowering Reinforcement Learning with VLMs
David Venuto, Mohammad Sami Nur Islam, Martin Klissarov, Doina Precup, Sherry Yang, Ankit Anand; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49368-49387
Topological Neural Networks go Persistent, Equivariant, and Continuous
Yogesh Verma, Amauri H Souza, Vikas Garg; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49388-49407
CuTS: Customizable Tabular Synthetic Data Generation
Mark Vero, Mislav Balunovic, Martin Vechev; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49408-49433
On a Neural Implementation of Brenier’s Polar Factorization
Nina Vesseron, Marco Cuturi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49434-49454
To the Max: Reinventing Reward in Reinforcement Learning
Grigorii Veviurko, Wendelin Boehmer, Mathijs De Weerdt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49455-49470
Imitation Learning in Discounted Linear MDPs without exploration assumptions
Luca Viano, Stratis Skoulakis, Volkan Cevher; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49471-49505
Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience
Martina G. Vilas, Federico Adolfi, David Poeppel, Gemma Roig; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49506-49522
Position: Will we run out of data? Limits of LLM scaling based on human-generated data
Pablo Villalobos, Anson Ho, Jaime Sevilla, Tamay Besiroglu, Lennart Heim, Marius Hobbhahn; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49523-49544
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49545-49557
CF-OPT: Counterfactual Explanations for Structured Prediction
Germain Vivier-Ardisson, Alexandre Forel, Axel Parmentier, Thibaut Vidal; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49558-49579
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin V. Bonilla, Dinh Phung; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49580-49604
Optimal Transport for Structure Learning Under Missing Data
Vy Vo, He Zhao, Trung Le, Edwin V. Bonilla, Dinh Phung; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49605-49626
ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
Kailas Vodrahalli, James Zou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49627-49654
A Language Model’s Guide Through Latent Space
Dimitri Von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49655-49687
Convergence of Some Convex Message Passing Algorithms to a Fixed Point
Vaclav Voracek, Tomas Werner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49688-49697
Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning
Nikhil Vyas, Depen Morwani, Rosie Zhao, Gal Kaplun, Sham M. Kakade, Boaz Barak; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49698-49716
Deconstructing the Goldilocks Zone of Neural Network Initialization
Artem M Vysogorets, Anna Dawid, Julia Kempe; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49717-49732
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models
Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49733-49787
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations
Stefan Sylvius Wagner, Stefan Harmeling; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49788-49807
Trustless Audits without Revealing Data or Models
Suppakit Waiwitlikhit, Ion Stoica, Yi Sun, Tatsunori Hashimoto, Daniel Kang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49808-49821
Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference
Benjamin Walker, Andrew Donald Mcleod, Tiexin Qin, Yichuan Cheng, Haoliang Li, Terry Lyons; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49822-49844
Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
Yijun Wan, Melih Barsbey, Abdellatif Zaidi, Umut Simsekli; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49845-49866
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
Shenghua Wan, Ziyuan Chen, Le Gan, Shuai Feng, De-Chuan Zhan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49867-49889
AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training
Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus Mcaleer, Ying Wen, Weinan Zhang, Jun Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49890-49920
VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
Zhaoliang Wan, Yonggen Ling, Senlin Yi, Lu Qi, Wang Wei Lee, Minglei Lu, Sicheng Yang, Xiao Teng, Peng Lu, Xu Yang, Ming-Hsuan Yang, Hui Cheng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49921-49940
Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information
Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49941-49956
Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction
Diwen Wan, Ruijie Lu, Gang Zeng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49957-49972
S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V Chawla, Mang Ye; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49973-49990
Non-stationary Online Convex Optimization with Arbitrary Delays
Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49991-50011
Towards Unified Multi-granularity Text Detection with Interactive Attention
Xingyu Wan, Chengquan Zhang, Pengyuan Lyu, Sen Fan, Zihan Ni, Kun Yao, Errui Ding, Jingdong Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50012-50025
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50026-50042
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50043-50064
On Universally Optimal Algorithms for A/B Testing
Po-An Wang, Kaito Ariu, Alexandre Proutiere; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50065-50091
Adversarially Robust Hypothesis Transfer Learning
Yunjuan Wang, Raman Arora; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50092-50117
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
Chao Wang, Xin Bing, Xin He, Caixing Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50118-50142
Non-parametric Online Change Point Detection on Riemannian Manifolds
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50143-50162
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50163-50207
Executable Code Actions Elicit Better LLM Agents
Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50208-50232
Revisiting the Power of Prompt for Visual Tuning
Yuzhu Wang, Lechao Cheng, Chaowei Fang, Dingwen Zhang, Manni Duan, Meng Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50233-50247
TVE: Learning Meta-attribution for Transferable Vision Explainer
Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50248-50267
Localizing Task Information for Improved Model Merging and Compression
Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jimenez, François Fleuret, Pascal Frossard; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50268-50287
Adaptively Learning to Select-Rank in Online Platforms
Jingyuan Wang, Perry Dong, Ying Jin, Ruohan Zhan, Zhengyuan Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50288-50312
Imitation Learning from Purified Demonstrations
Yunke Wang, Minjing Dong, Yukun Zhao, Bo Du, Chang Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50313-50331
Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View
Jin Wang, Shichao Dong, Yapeng Zhu, Kelu Yao, Weidong Zhao, Chao Li, Ping Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50332-50352
An Efficient Maximal Ancestral Graph Listing Algorithm
Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50353-50378
Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks
Ruigang Wang, Krishnamurthy Dj Dvijotham, Ian Manchester; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50379-50399
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation
Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50400-50418
Optimal Kernel Quantile Learning with Random Features
Caixing Wang, Xingdong Feng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50419-50452
MEMORYLLM: Towards Self-Updatable Large Language Models
Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian Mcauley; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50453-50466
Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
Zixiao Wang, Amiremad Ghassami, Ilya Shpitser; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50467-50488
Understanding Heterophily for Graph Neural Networks
Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50489-50529
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments
Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50530-50560
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting
Jiaxu Wang, Junhao He, Ziyi Zhang, Mingyuan Sun, Jingkai Sun, Renjing Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50561-50579
Mollification Effects of Policy Gradient Methods
Tao Wang, Sylvia Lee Herbert, Sicun Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50580-50598
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
Rui Wang, Elyssa Hofgard, Han Gao, Robin Walters, Tess Smidt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50599-50621
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R Loomba, Shichang Zhang, Yizhou Sun, Wei Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50622-50649
Optimal Kernel Choice for Score Function-based Causal Discovery
Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang, Mingming Gong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50650-50668
Rapid Learning without Catastrophic Forgetting in the Morris Water Maze
Raymond Wang, Jaedong Hwang, Akhilan Boopathy, Ila R Fiete; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50669-50682
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50683-50710
Total Variation Floodgate for Variable Importance Inference in Classification
Wenshuo Wang, Lucas Janson, Lihua Lei, Aaditya Ramdas; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50711-50725
In-context Learning on Function Classes Unveiled for Transformers
Zhijie Wang, Bo Jiang, Shuai Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50726-50745
MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited Data
Jian Wang, Xin Lan, Yuxin Tian, Jiancheng Lv; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50746-50765
StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization
Shida Wang, Qianxiao Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50766-50793
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
Yaoming Wang, Jin Li, Wenrui Dai, Bowen Shi, Xiaopeng Zhang, Chenglin Li, Hongkai Xiong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50794-50806
Highway Value Iteration Networks
Yuhui Wang, Weida Li, Francesco Faccio, Qingyuan Wu, Jürgen Schmidhuber; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50807-50821
Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting
Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50822-50839
Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
Yancheng Wang, Ping Li, Yingzhen Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50840-50858
An Iterative Min-Min Optimization Method for Sparse Bayesian Learning
Yasen Wang, Junlin Li, Zuogong Yue, Ye Yuan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50859-50873
Graph As Point Set
Xiyuan Wang, Pan Li, Muhan Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50874-50901
Open Ad Hoc Teamwork with Cooperative Game Theory
Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50902-50930
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50931-50943
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning
Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50944-50959
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Chuan-Sheng Foo, Bryan Kian Hsiang Low; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50960-50991
On Discrete Prompt Optimization for Diffusion Models
Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:50992-51011
A Global Geometric Analysis of Maximal Coding Rate Reduction
Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51012-51040
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
Shengjie Wang, Shaohuai Liu, Weirui Ye, Jiacheng You, Yang Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51041-51062
A Dual-module Framework for Counterfactual Estimation over Time
Xin Wang, Shengfei Lyu, Lishan Yang, Yibing Zhan, Huanhuan Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51063-51085
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51086-51104
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51105-51123
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
Mingze Wang, Zeping Min, Lei Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51124-51160
Transforming and Combining Rewards for Aligning Large Language Models
Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alexander Nicholas D’Amour, Sanmi Koyejo, Victor Veitch; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51161-51176
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks
Zhiruo Wang, Graham Neubig, Daniel Fried; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51177-51191
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning
Kaiwen Wang, Owen Oertell, Alekh Agarwal, Nathan Kallus, Wen Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51192-51213
Pi-DUAL: Using privileged information to distinguish clean from noisy labels
Ke Wang, Guillermo Ortiz-Jimenez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51214-51236
Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data
Yafei Wang, Bo Pan, Mei Li, Jianya Lu, Lingchen Kong, Bei Jiang, Linglong Kong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51237-51254
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
Boxin Wang, Wei Ping, Lawrence Mcafee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51255-51272
A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
Jiayi Wang, Zhengling Qi, Raymond K. W. Wong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51273-51302
Probabilistic Constrained Reinforcement Learning with Formal Interpretability
Yanran Wang, Qiuchen Qian, David Boyle; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51303-51327
Efficient Online Set-valued Classification with Bandit Feedback
Zhou Wang, Xingye Qiao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51328-51347
LLM-Empowered State Representation for Reinforcement Learning
Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51348-51375
Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency
Chentong Wang, Yannan Qu, Zhangzhi Peng, Yukai Wang, Hongli Zhu, Dachuan Chen, Longxing Cao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51376-51395
How to Trace Latent Generative Model Generated Images without Artificial Watermark?
Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51396-51414
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
Caixing Wang, Ziliang Shen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51415-51441
Generalization Analysis of Stochastic Weight Averaging with General Sampling
Peng Wang, Li Shen, Zerui Tao, Shuaida He, Dacheng Tao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51442-51464
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline
Haonan Wang, Qianli Shen, Yao Tong, Yang Zhang, Kenji Kawaguchi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51465-51483
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik, David Held, Zackory Erickson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51484-51501
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
Hengyi Wang, Shiwei Tan, Hao Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51502-51522
Integrated Hardware Architecture and Device Placement Search
Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51523-51545
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
Yucen Wang, Shenghua Wan, Le Gan, Shuai Feng, De-Chuan Zhan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51546-51568
Benchmarking Deletion Metrics with the Principled Explanations
Yipei Wang, Xiaoqian Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51569-51595
CW Complex Hypothesis for Image Data
Yi Wang, Zhiren Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51596-51613
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
Haixiao Wang, Zhichao Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51614-51649
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51650-51700
FADAS: Towards Federated Adaptive Asynchronous Optimization
Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51701-51733
Open-Vocabulary Calibration for Fine-tuned CLIP
Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51734-51754
Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning
Vivienne Huiling Wang, Tinghuai Wang, Wenyan Yang, Joni-Kristian Kamarainen, Joni Pajarinen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51755-51770
Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation
Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51771-51824
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
Zhihai Wang, Jie Wang, Dongsheng Zuo, Ji Yunjie, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51825-51853
Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot
Zixuan Wang, Stanley Wei, Daniel Hsu, Jason D. Lee; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51854-51912
Defense against Model Extraction Attack by Bayesian Active Watermarking
Zhenyi Wang, Yihan Wu, Heng Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51913-51935
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Katerina Fragkiadaki, Zackory Erickson, David Held, Chuang Gan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51936-51983
Quality-Diversity with Limited Resources
Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:51984-52001
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization
Hao Wang, Kaifeng Yang, Michael Affenzeller; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52002-52018
Vision Transformers as Probabilistic Expansion from Learngene
Qiufeng Wang, Xu Yang, Haokun Chen, Xin Geng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52019-52032
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
Jiachen T. Wang, Tianji Yang, James Zou, Yongchan Kwon, Ruoxi Jia; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52033-52063
Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?
Yilong Wang, Haishan Ye, Guang Dai, Ivor Tsang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52064-52082
Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks
Lihao Wang, Zhaofei Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52083-52098
Learning with Adaptive Resource Allocation
Jing Wang, Miao Yu, Peng Zhao, Zhi-Hua Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52099-52116
Taylor Videos for Action Recognition
Lei Wang, Xiuyuan Yuan, Tom Gedeon, Liang Zheng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52117-52133
An Empirical Study of Realized GNN Expressiveness
Yanbo Wang, Muhan Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52134-52155
Calibration Bottleneck: Over-compressed Representations are Less Calibratable
Deng-Bao Wang, Min-Ling Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52156-52170
Benign Overfitting in Adversarial Training of Neural Networks
Yunjuan Wang, Kaibo Zhang, Raman Arora; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52171-52232
FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion
Zehan Wang, Ziang Zhang, Xize Cheng, Rongjie Huang, Luping Liu, Zhenhui Ye, Haifeng Huang, Yang Zhao, Tao Jin, Peng Gao, Zhou Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52233-52246
Exploring Intrinsic Dimension for Vision-Language Model Pruning
Hanzhang Wang, Jiawen Zhang, Qingyuan Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52247-52259
Knowledge-aware Reinforced Language Models for Protein Directed Evolution
Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52260-52273
Boximator: Generating Rich and Controllable Motions for Video Synthesis
Jiawei Wang, Yuchen Zhang, Jiaxin Zou, Yan Zeng, Guoqiang Wei, Liping Yuan, Hang Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52274-52289
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52290-52308
Diffusion Language Models Are Versatile Protein Learners
Xinyou Wang, Zaixiang Zheng, Fei Ye, Dongyu Xue, Shujian Huang, Quanquan Gu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52309-52333
Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning
Chendi Wang, Yuqing Zhu, Weijie J Su, Yu-Xiang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52334-52360
Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation
Wang Ziqi, Wei Wang, Chao Huang, Jie Wen, Cong Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52361-52371
Mapping the Multiverse of Latent Representations
Jeremy Wayland, Corinna Coupette, Bastian Rieck; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52372-52402
Reinforcement Learning and Regret Bounds for Admission Control
Lucas Weber, Ana Busic, Jiamin Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52403-52427
Learning to Compile Programs to Neural Networks
Logan Weber, Jesse Michel, Alex Renda, Michael Carbin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52428-52471
Exact Soft Analytical Side-Channel Attacks using Tractable Circuits
Thomas Wedenig, Rishub Nagpal, Gaëtan Cassiers, Stefan Mangard, Robert Peharz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52472-52483
Exploiting Human-AI Dependence for Learning to Defer
Zixi Wei, Yuzhou Cao, Lei Feng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52484-52499
Learning Pseudo-Contractive Denoisers for Inverse Problems
Deliang Wei, Peng Chen, Fang Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52500-52524
Rethinking Generative Large Language Model Evaluation for Semantic Comprehension
Fangyun Wei, Xi Chen, Lin Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52525-52558
MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance
Yake Wei, Di Hu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52559-52572
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52573-52587
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52588-52610
Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition
Tong Wei, Zhen Mao, Zi-Hao Zhou, Yuanyu Wan, Min-Ling Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52611-52631
Magicoder: Empowering Code Generation with OSS-Instruct
Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52632-52657
Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems
Siwei Wei, Xudong Zhang, Zhiyang Zhou, Yan Cai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52658-52679
Position: AI/ML Influencers Have a Place in the Academic Process
Iain Weissburg, Mehir Arora, Xinyi Wang, Liangming Pan, William Yang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52680-52694
SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning
Matthias Weissenbacher, Rishabh Agarwal, Yoshinobu Kawahara; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52695-52719
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
Xiaoyu Wen, Chenjia Bai, Kang Xu, Xudong Yu, Yang Zhang, Xuelong Li, Zhen Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52720-52743
Cross-domain Open-world Discovery
Shuo Wen, Maria Brbic; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52744-52761
Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering
Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang, Lunke Fei, Yong Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52762-52778
Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning
Yuxiao Wen, Arthur Jacot; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52779-52800
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52801-52818
Provable Contrastive Continual Learning
Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52819-52838
Distributional Bellman Operators over Mean Embeddings
Li Kevin Wenliang, Gregoire Deletang, Matthew Aitchison, Marcus Hutter, Anian Ruoss, Arthur Gretton, Mark Rowland; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52839-52868
On the Asymptotic Distribution of the Minimum Empirical Risk
Jacob Westerhout, Trungtin Nguyen, Xin Guo, Hien Duy Nguyen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52869-52902
Stability-Informed Initialization of Neural Ordinary Differential Equations
Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52903-52914
QuRating: Selecting High-Quality Data for Training Language Models
Alexander Wettig, Aatmik Gupta, Saumya Malik, Danqi Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52915-52971
Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
Steven Wilkins-Reeves, Xu Chen, Qi Ma, Christine Agarwal, Aude Hofleitner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52972-52993
A Distributional Analogue to the Successor Representation
Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Yunhao Tang, Andre Barreto, Will Dabney, Marc G Bellemare, Mark Rowland; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:52994-53016
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models
Ludwig Winkler, Lorenz Richter, Manfred Opper; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53017-53038
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
Maciej Wolczyk, Bartłomiej Cupiał, Mateusz Ostaszewski, Michał Bortkiewicz, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53039-53078
Fundamental Limitations of Alignment in Large Language Models
Yotam Wolf, Noam Wies, Oshri Avnery, Yoav Levine, Amnon Shashua; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53079-53112
Expressivity and Generalization: Fragment-Biases for Molecular GNNs
Tom Wollschläger, Niklas Kemper, Leon Hetzel, Johanna Sommer, Stephan Günnemann; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53113-53139
Unified Training of Universal Time Series Forecasting Transformers
Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53140-53164
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53165-53201
Coresets for Multiple $\ell_p$ Regression
David Woodruff, Taisuke Yasuda; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53202-53233
Reweighted Solutions for Weighted Low Rank Approximation
David Woodruff, Taisuke Yasuda; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53234-53250
Optimizing Watermarks for Large Language Models
Bram Wouters; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53251-53269
Repoformer: Selective Retrieval for Repository-Level Code Completion
Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, Xiaofei Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53270-53290
Theoretical insights for diffusion guidance: A case study for Gaussian mixture models
Yuchen Wu, Minshuo Chen, Zihao Li, Mengdi Wang, Yuting Wei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53291-53327
Adaptive Accompaniment with ReaLchords
Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon, Alexander Scarlatos, Chris Donahue, Cassie Tarakajian, Shayegan Omidshafiei, Aaron Courville, Pablo Samuel Castro, Natasha Jaques, Cheng-Zhi Anna Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53328-53345
Ditto: Quantization-aware Secure Inference of Transformers upon MPC
Haoqi Wu, Wenjing Fang, Yancheng Zheng, Junming Ma, Jin Tan, Lei Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53346-53365
NExT-GPT: Any-to-Any Multimodal LLM
Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53366-53397
Understanding Stochastic Natural Gradient Variational Inference
Kaiwen Wu, Jacob R. Gardner; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53398-53421
FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames
Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu, Jiahan Li, Jianzhu Ma, Qiang Liu, Yunan Luo, Jian Peng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53422-53442
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53443-53470
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Hsiao, Han Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53471-53514
Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners
Chengjie Wu, Hao Hu, Yiqin Yang, Ning Zhang, Chongjie Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53515-53541
PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques
Yue Wu, Xidao Hu, Yongzhe Yuan, Xiaolong Fan, Maoguo Gong, Hao Li, Mingyang Zhang, Qiguang Miao, Wenping Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53542-53552
Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models
Mingrui Wu, Jiayi Ji, Oucheng Huang, Jiale Li, Yuhang Wu, Xiaoshuai Sun, Rongrong Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53553-53570
Borda Regret Minimization for Generalized Linear Dueling Bandits
Yue Wu, Tao Jin, Qiwei Di, Hao Lou, Farzad Farnoud, Quanquan Gu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53571-53596
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J Getzen, Qi Long, Mayur Naik, Ravi B Parikh, Eric Wong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53597-53618
Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces
Fang Wu, Stan Z. Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53619-53634
Learning Causal Relations from Subsampled Time Series with Two Time-Slices
Anpeng Wu, Haoxuan Li, Kun Kuang, Zhang Keli, Fei Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53635-53655
AND: Audio Network Dissection for Interpreting Deep Acoustic Models
Tung-Yu Wu, Yu-Xiang Lin, Tsui-Wei Weng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53656-53680
Transolver: A Fast Transformer Solver for PDEs on General Geometries
Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53681-53705
Confidence-aware Contrastive Learning for Selective Classification
Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53706-53729
Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value
Young Wu, Jeremy Mcmahan, Yiding Chen, Yudong Chen, Jerry Zhu, Qiaomin Xie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53730-53756
VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model
Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53757-53775
Learning Divergence Fields for Shift-Robust Graph Representations
Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53776-53792
Profile Reconstruction from Private Sketches
Hao Wu, Rasmus Pagh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53793-53816
Policy Learning for Balancing Short-Term and Long-Term Rewards
Peng Wu, Ziyu Shen, Feng Xie, Wang Zhongyao, Chunchen Liu, Yan Zeng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53817-53846
Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V Chawla, Stan Z. Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53847-53859
A Theory of Fault-Tolerant Learning
Changlong Wu, Yifan Wang, Ananth Grama; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53860-53869
Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE
Hao Wu, Huiyuan Wang, Kun Wang, Weiyan Wang, Changan Ye, Yangyu Tao, Chong Chen, Xian-Sheng Hua, Xiao Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53870-53891
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization
Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53892-53908
Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA
Zhongze Wu, Hongyan Xu, Yitian Long, Shan You, Xiu Su, Jun Long, Yueyi Luo, Chang Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53909-53927
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53928-53943
Mitigating Label Noise on Graphs via Topological Sample Selection
Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53944-53972
Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays
Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53973-53998
HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming
Yang Wu, Yifan Zhang, Zhenxing Liang, Jian Cheng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:53999-54014
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
Haoning Wu, Zicheng Zhang, Weixia Zhang, Chaofeng Chen, Liang Liao, Chunyi Li, Yixuan Gao, Annan Wang, Erli Zhang, Wenxiu Sun, Qiong Yan, Xiongkuo Min, Guangtao Zhai, Weisi Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54015-54029
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54030-54048
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
Haocheng Xi, Yuxiang Chen, Kang Zhao, Kai Jun Teh, Jianfei Chen, Jun Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54049-54063
Unbiased Multi-Label Learning from Crowdsourced Annotations
Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54064-54081
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Hongxin Wei, Tongliang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54082-54103
LESS: Selecting Influential Data for Targeted Instruction Tuning
Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54104-54132
SMaRt: Improving GANs with Score Matching Regularity
Mengfei Xia, Yujun Shen, Ceyuan Yang, Ran Yi, Wenping Wang, Yong-Jin Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54133-54155
Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources
Meng Xia, Jonathan Wilson, Benjamin Goldstein, Ricardo Henao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54156-54177
Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54178-54190
Delving into the Convergence of Generalized Smooth Minimax Optimization
Wenhan Xian, Ziyi Chen, Heng Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54191-54211
Differentially Private Post-Processing for Fair Regression
Ruicheng Xian, Qiaobo Li, Gautam Kamath, Han Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54212-54235
Towards Neural Architecture Search through Hierarchical Generative Modeling
Lichuan Xiang, Łukasz Dudziak, Mohamed S Abdelfattah, Abhinav Mehrotra, Nicholas Donald Lane, Hongkai Wen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54236-54254
Towards a Self-contained Data-driven Global Weather Forecasting Framework
Yi Xiao, Lei Bai, Wei Xue, Hao Chen, Kun Chen, Kang Chen, Tao Han, Wanli Ouyang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54255-54275
Category-Aware Active Domain Adaptation
Wenxiao Xiao, Jiuxiang Gu, Hongfu Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54276-54287
Improved Operator Learning by Orthogonal Attention
Zipeng Xiao, Zhongkai Hao, Bokai Lin, Zhijie Deng, Hang Su; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54288-54299
Improving Transformers with Dynamically Composable Multi-Head Attention
Da Xiao, Qingye Meng, Shengping Li, Xingyuan Yuan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54300-54318
Uniformly Stable Algorithms for Adversarial Training and Beyond
Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman E. Ozdaglar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54319-54340
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54341-54362
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G Honavar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54363-54381
CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models
Jie Xiao, Kai Zhu, Han Zhang, Zhiheng Liu, Yujun Shen, Zhantao Yang, Ruili Feng, Yu Liu, Xueyang Fu, Zheng-Jun Zha; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54382-54401
Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models
Bai Xiaofan, Chaoxiang He, Xiaojing Ma, Bin Benjamin Zhu, Hai Jin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54402-54413
Learning to Explore in POMDPs with Informational Rewards
Annie Xie, Logan Mondal Bhamidipaty, Evan Zheran Liu, Joey Hong, Sergey Levine, Chelsea Finn; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54414-54429
Automating the Selection of Proxy Variables of Unmeasured Confounders
Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54430-54459
FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error
Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54460-54474
Improving SAM Requires Rethinking its Optimization Formulation
Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54475-54487
Implicit Bias of AdamW: $\ell_∞$-Norm Constrained Optimization
Shuo Xie, Zhiyuan Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54488-54510
Local Causal Structure Learning in the Presence of Latent Variables
Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54511-54530
Differentially Private Synthetic Data via Foundation Model APIs 2: Text
Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54531-54560
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Luyuan Xie, Manqing Lin, Tianyu Luan, Cong Li, Yuejian Fang, Qingni Shen, Zhonghai Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54561-54575
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
Ming-Kun Xie, Jia-Hao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54576-54589
TravelPlanner: A Benchmark for Real-World Planning with Language Agents
Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54590-54613
Reflected Flow Matching
Tianyu Xie, Yu Zhu, Longlin Yu, Tong Yang, Ziheng Cheng, Shiyue Zhang, Xiangyu Zhang, Cheng Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54614-54634
Federated Neuro-Symbolic Learning
Pengwei Xing, Songtao Lu, Han Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54635-54655
Less is More: on the Over-Globalizing Problem in Graph Transformers
Yujie Xing, Xiao Wang, Yibo Li, Hai Huang, Chuan Shi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54656-54672
HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction
Lanxiang Xing, Haixu Wu, Yuezhou Ma, Jianmin Wang, Mingsheng Long; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54673-54697
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54698-54714
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint
Wei Xiong, Hanze Dong, Chenlu Ye, Ziqi Wang, Han Zhong, Heng Ji, Nan Jiang, Tong Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54715-54754
Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
Guojun Xiong, Jian Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54755-54776
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54777-54791
A General Framework for Sequential Decision-Making under Adaptivity Constraints
Nuoya Xiong, Zhaoran Wang, Zhuoran Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54792-54830
Parameter-Dependent Competitive Analysis for Online Capacitated Coverage Maximization through Boostings and Attenuations
Pan Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54831-54851
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
Weijia Xu, Andrzej Banburski, Nebojsa Jojic; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54852-54865
Stochastic Bandits with ReLU Neural Networks
Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54866-54887
Intersectional Unfairness Discovery
Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54888-54917
Semantic-Aware Human Object Interaction Image Generation
Zhu Xu, Qingchao Chen, Yuxin Peng, Yang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54918-54932
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
Yilun Xu, Gabriele Corso, Tommi Jaakkola, Arash Vahdat, Karsten Kreis; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54933-54961
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54962-54982
Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study
Shusheng Xu, Wei Fu, Jiaxuan Gao, Wenjie Ye, Weilin Liu, Zhiyu Mei, Guangju Wang, Chao Yu, Yi Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54983-54998
Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
Kai Xu, Hong Ge; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54999-55014
Equivariant Graph Neural Operator for Modeling 3D Dynamics
Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55015-55032
Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning
Ning Xu, Yihao Hu, Congyu Qiao, Xin Geng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55033-55047
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
Chenwei Xu, Yu-Chao Huang, Jerry Yao-Chieh Hu, Weijian Li, Ammar Gilani, Hsi-Sheng Goan, Han Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55048-55075
Conformal prediction for multi-dimensional time series by ellipsoidal sets
Chen Xu, Hanyang Jiang, Yao Xie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55076-55099
Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module
Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao, Emad Barsoum; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55100-55111
Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning
Tengye Xu, Zihao Li, Qinyuan Ren; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55112-55125
Prompt-guided Precise Audio Editing with Diffusion Models
Manjie Xu, Chenxing Li, Duzhen Zhang, Dan Su, Wei Liang, Dong Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55126-55143
Low-Rank Similarity Mining for Multimodal Dataset Distillation
Yue Xu, Zhilin Lin, Yusong Qiu, Cewu Lu, Yong-Lu Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55144-55161
Robust Inverse Constrained Reinforcement Learning under Model Misspecification
Sheng Xu, Guiliang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55162-55185
Soft Prompt Recovers Compressed LLMs, Transferably
Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55186-55203
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55204-55224
Adaptive Group Personalization for Federated Mutual Transfer Learning
Haoqing Xu, Dian Shen, Meng Wang, Beilun Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55225-55240
Robust Universal Adversarial Perturbations
Changming Xu, Gagandeep Singh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55241-55266
Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence
Sascha Xu, Nils Philipp Walter, Janis Kalofolias, Jilles Vreeken; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55267-55285
Pricing with Contextual Elasticity and Heteroscedastic Valuation
Jianyu Xu, Yu-Xiang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55286-55304
Principled Preferential Bayesian Optimization
Wenjie Xu, Wenbin Wang, Yuning Jiang, Bratislav Svetozarevic, Colin Jones; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55305-55336
Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement
Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David Doermann, Xiao Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55337-55347
SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter
Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55348-55370
Libra: Building Decoupled Vision System on Large Language Models
Yifan Xu, Xiaoshan Yang, Yaguang Song, Changsheng Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55371-55388
A Sparsity Principle for Partially Observable Causal Representation Learning
Danru Xu, Dingling Yao, Sebastien Lachapelle, Perouz Taslakian, Julius Von Kügelgen, Francesco Locatello, Sara Magliacane; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55389-55433
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55434-55464
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55465-55489
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
Jian Xu, Delu Zeng, John Paisley; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55490-55500
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
Jing Xu, Jingzhao Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55501-55524
Exponential Spectral Pursuit: An Effective Initialization Method for Sparse Phase Retrieval
Mengchu Xu, Yuxuan Zhang, Jian Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55525-55546
Iterative Regularized Policy Optimization with Imperfect Demonstrations
Gong Xudong, Feng Dawei, Kele Xu, Yuanzhao Zhai, Chengkang Yao, Weijia Wang, Bo Ding, Huaimin Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55547-55568
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55569-55594
Offline Multi-Objective Optimization
Ke Xue, Rongxi Tan, Xiaobin Huang, Chao Qian; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55595-55624
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55625-55655
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55656-55681
FairProof : Confidential and Certifiable Fairness for Neural Networks
Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55682-55705
Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning
Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55706-55738
Balancing Similarity and Complementarity for Federated Learning
Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55739-55758
Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model
Tijin Yan, Hengheng Gong, He Yongping, Yufeng Zhan, Yuanqing Xia; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55759-55777
Exploring the LLM Journey from Cognition to Expression with Linear Representations
Yuzi Yan, Jialian Li, Yipin Zhang, Dong Yan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55778-55796
A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction
Keqiang Yan, Alexandra Saxton, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55797-55813
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
Kai Yan, Alex Schwing, Yu-Xiong Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55814-55838
Handling Heterogeneous Curvatures in Bandit LQR Control
Yu-Hu Yan, Jing Wang, Peng Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55839-55858
Foundations of Testing for Finite-Sample Causal Discovery
Tom Yan, Ziyu Xu, Zachary Chase Lipton; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55859-55900
Retrieval Across Any Domains via Large-scale Pre-trained Model
Jiexi Yan, Zhihui Yin, Chenghao Xu, Cheng Deng, Heng Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55901-55912
Reducing Balancing Error for Causal Inference via Optimal Transport
Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55913-55927
Do Efficient Transformers Really Save Computation?
Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55928-55947
Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary
Shuo Yang, Zhe Cao, Sheng Guo, Ruiheng Zhang, Ping Luo, Shengping Zhang, Liqiang Nie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55948-55960
Sample-Efficient Multiagent Reinforcement Learning with Reset Replay
Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55961-55975
DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)
Zongxin Yang, Guikun Chen, Xiaodi Li, Wenguan Wang, Yi Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55976-55997
A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
Shentao Yang, Tianqi Chen, Mingyuan Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:55998-56032
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
Lujie Yang, Hongkai Dai, Zhouxing Shi, Cho-Jui Hsieh, Russ Tedrake, Huan Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56033-56046
Latent Space Symmetry Discovery
Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56047-56070
Guidance with Spherical Gaussian Constraint for Conditional Diffusion
Lingxiao Yang, Shutong Ding, Yifan Cai, Jingyi Yu, Jingya Wang, Ye Shi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56071-56095
Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
Wenhan Yang, Jingdong Gao, Baharan Mirzasoleiman; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56096-56108
Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss
Yahong Yang, Juncai He; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56109-56138
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
Danni Yang, Jiayi Ji, Yiwei Ma, Tianyu Guo, Haowei Wang, Xiaoshuai Sun, Rongrong Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56139-56155
Small-loss Adaptive Regret for Online Convex Optimization
Wenhao Yang, Wei Jiang, Yibo Wang, Ping Yang, Yao Hu, Lijun Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56156-56195
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56196-56215
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Shenzhi Yang, Bin Liang, An Liu, Lin Gui, Xingkai Yao, Xiaofang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56216-56234
Position: Towards Implicit Prompt For Text-To-Image Models
Yue Yang, Yuqi Lin, Hong Liu, Wenqi Shao, Runjian Chen, Hailong Shang, Yu Wang, Yu Qiao, Kaipeng Zhang, Ping Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56235-56250
Position: Towards Unified Alignment Between Agents, Humans, and Environment
Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56251-56275
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
Rui Yang, Xiaoman Pan, Feng Luo, Shuang Qiu, Han Zhong, Dong Yu, Jianshu Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56276-56297
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56298-56318
ILILT: Implicit Learning of Inverse Lithography Technologies
Haoyu Yang, Haoxing Ren; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56319-56331
Representation Surgery for Multi-Task Model Merging
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56332-56356
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi, Jun Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56357-56381
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
Jinxia Yang, Bing Su, Xin Zhao, Ji-Rong Wen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56382-56396
Exploration and Anti-Exploration with Distributional Random Network Distillation
Kai Yang, Jian Tao, Jiafei Lyu, Xiu Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56397-56421
UniAudio: Towards Universal Audio Generation with Large Language Models
Dongchao Yang, Jinchuan Tian, Xu Tan, Rongjie Huang, Songxiang Liu, Haohan Guo, Xuankai Chang, Jiatong Shi, Sheng Zhao, Jiang Bian, Zhou Zhao, Xixin Wu, Helen M. Meng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56422-56447
Explain Temporal Black-Box Models via Functional Decomposition
Linxiao Yang, Yunze Tong, Xinyue Gu, Liang Sun; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56448-56464
Position: Video as the New Language for Real-World Decision Making
Sherry Yang, Jacob C Walker, Jack Parker-Holder, Yilun Du, Jake Bruce, Andre Barreto, Pieter Abbeel, Dale Schuurmans; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56465-56484
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories
Qianlan Yang, Yu-Xiong Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56485-56500
Gated Linear Attention Transformers with Hardware-Efficient Training
Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56501-56523
Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts
Xiao-Wen Yang, Wen-Da Wei, Jie-Jing Shao, Yu-Feng Li, Zhi-Hua Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56524-56541
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms
Ming Yang, Xiyuan Wei, Tianbao Yang, Yiming Ying; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56542-56593
How Graph Neural Networks Learn: Lessons from Training Dynamics
Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56594-56623
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56624-56664
Neuro-Symbolic Temporal Point Processes
Yang Yang, Chao Yang, Boyang Li, Yinghao Fu, Shuang Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56665-56680
One Meta-tuned Transformer is What You Need for Few-shot Learning
Xu Yang, Huaxiu Yao, Ying Wei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56681-56703
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56704-56721
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
Shangda Yang, Vitaly Zankin, Maximilian Balandat, Stefan Scherer, Kevin Thomas Carlberg, Neil Walton, Kody J. H. Law; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56722-56748
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation
Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56749-56792
Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective
Junwei Yang, Kangjie Zheng, Siyu Long, Zaiqing Nie, Ming Zhang, Xinyu Dai, Wei-Ying Ma, Hao Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56793-56811
What is Dataset Distillation Learning?
William Yang, Ye Zhu, Zhiwei Deng, Olga Russakovsky; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56812-56834
Protein Conformation Generation via Force-Guided SE(3) Diffusion Models
Yan Wang, Lihao Wang, Yuning Shen, Yiqun Wang, Huizhuo Yuan, Yue Wu, Quanquan Gu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56835-56859
Empowering Graph Invariance Learning with Deep Spurious Infomax
Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56860-56884
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56885-56913
Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers
Zhiyu Yao, Jian Wang, Haixu Wu, Jingdong Wang, Mingsheng Long; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56914-56926
Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration
Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56927-56945
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
Can Yaras, Peng Wang, Laura Balzano, Qing Qu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56946-56965
EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
Chung-Yiu Yau, Hoi To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56966-56981
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
Chenlu Ye, Jiafan He, Quanquan Gu, Tong Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:56982-57017
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
Chen-Yu Yen, Raghav Singhal, Umang Sharma, Rajesh Ranganath, Sumit Chopra, Lerrel Pinto; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57018-57032
StableMask: Refining Causal Masking in Decoder-only Transformer
Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57033-57052
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights $\textitIrreversibly$ and $\textitMonotonically$ Impairs “Difficult" Downstream Tasks in LLMs
Lu Yin, Ajay Kumar Jaiswal, Shiwei Liu, Souvik Kundu, Zhangyang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57053-57068
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension
Fan Yin, Jayanth Srinivasa, Kai-Wei Chang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57069-57084
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
Yuxuan Yin, Yu Wang, Peng Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57085-57100
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57101-57115
MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang, Yuqi Lin, Shuo Liu, Jiayi Lei, Quanfeng Lu, Runjian Chen, Peng Xu, Renrui Zhang, Haozhe Zhang, Peng Gao, Yali Wang, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57116-57198
Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning
Jinsoo Yoo, Yunpeng Liu, Frank Wood, Geoff Pleiss; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57199-57216
Uncertainty Estimation by Density Aware Evidential Deep Learning
Taeseong Yoon, Heeyoung Kim; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57217-57243
Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique
Taeho Yoon, Jaeyeon Kim, Jaewook J. Suh, Ernest K. Ryu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57244-57314
FRAG: Frequency Adapting Group for Diffusion Video Editing
Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57315-57330
Breadth-First Exploration on Adaptive Grid for Reinforcement Learning
Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, Jungseul Ok; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57331-57349
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
Haoran You, Yichao Fu, Zheng Wang, Amir Yazdanbakhsh, Yingyan Celine Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57350-57366
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57367-57383
Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond
Dingzhi Yu, Yunuo Cai, Wei Jiang, Lijun Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57384-57414
Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering
Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57415-57440
Activation-Descent Regularization for Input Optimization of ReLU Networks
Hongzhan Yu, Sicun Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57441-57458
Collage: Light-Weight Low-Precision Strategy for LLM Training
Tao Yu, Gaurav Gupta, Karthick Gopalswamy, Amith R Mamidala, Hao Zhou, Jeffrey Huynh, Youngsuk Park, Ron Diamant, Anoop Deoras, Luke Huan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57459-57479
Privacy-Preserving Instructions for Aligning Large Language Models
Da Yu, Peter Kairouz, Sewoong Oh, Zheng Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57480-57506
Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders
Xue Yu, Muchen Li, Yan Leng, Renjie Liao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57507-57526
Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring
Wei Yu, Jianing Li, Shengping Zhang, Xiangyang Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57527-57543
Enabling Few-Shot Learning with PID Control: A Layer Adaptive Optimizer
Le Yu, Xinde Li, Pengfei Zhang, Zhentong Zhang, Fir Dunkin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57544-57558
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Lijia Yu, Shuang Liu, Yibo Miao, Xiao-Shan Gao, Lijun Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57559-57596
Learning Causal Dynamics Models in Object-Oriented Environments
Zhongwei Yu, Jingqing Ruan, Dengpeng Xing; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57597-57638
ViP: A Differentially Private Foundation Model for Computer Vision
Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57639-57658
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration
Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi, Khalid Shaikh, Yingyan Celine Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57659-57677
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
Yi Yu, Yufei Wang, Song Xia, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex Kot; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57678-57702
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
Mo Yu, Qiujing Wang, Shunchi Zhang, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Liyan Xu, Jing Li, Yue Yu, Jie Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57703-57729
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, Lijuan Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57730-57754
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Le Yu, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57755-57775
Improving Sharpness-Aware Minimization by Lookahead
Runsheng Yu, Youzhi Zhang, James Kwok; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57776-57802
A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57803-57817
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling
Guoqi Yu, Jing Zou, Xiaowei Hu, Angelica I Aviles-Rivero, Jing Qin, Shujun Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57818-57841
Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence
Ganzhao Yuan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57842-57870
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)
Dehao Yuan, Cornelia Fermuller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57871-57886
SHINE: Shielding Backdoors in Deep Reinforcement Learning
Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57887-57904
Self-Rewarding Language Models
Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason E Weston; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57905-57923
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators
Jianhao Yuan, Francesco Pinto, Adam Davies, Philip Torr; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57924-57952
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57953-57965
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
Sheng Yue, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:57966-58018
Federated Self-Explaining GNNs with Anti-shortcut Augmentations
Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58019-58036
How to Leverage Diverse Demonstrations in Offline Imitation Learning
Sheng Yue, Jiani Liu, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58037-58067
Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
Conghan Yue, Zhengwei Peng, Junlong Ma, Shiyan Du, Pengxu Wei, Dongyu Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58068-58089
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution
Eslam Zaher, Maciej Trzaskowski, Quan Nguyen, Fred Roosta; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58090-58104
Sample as you Infer: Predictive Coding with Langevin Dynamics
Umais Zahid, Qinghai Guo, Zafeirios Fountas; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58105-58121
More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
Hossein Zakerinia, Amin Behjati, Christoph H. Lampert; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58122-58139
How to Explore with Belief: State Entropy Maximization in POMDPs
Riccardo Zamboni, Duilio Cirino, Marcello Restelli, Mirco Mutti; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58140-58157
See More Details: Efficient Image Super-Resolution by Experts Mining
Eduard Zamfir, Zongwei Wu, Nancy Mehta, Yulun Zhang, Radu Timofte; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58158-58173
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58174-58196
Robustly Learning Single-Index Models via Alignment Sharpness
Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58197-58243
Low-Cost High-Power Membership Inference Attacks
Sajjad Zarifzadeh, Philippe Liu, Reza Shokri; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58244-58282
Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability
Sepanta Zeighami, Cyrus Shahabi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58283-58305
Continuous Treatment Effects with Surrogate Outcomes
Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward Kennedy; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58306-58328
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
Junhua Zeng, Chao Li, Zhun Sun, Qibin Zhao, Guoxu Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58329-58347
Token-level Direct Preference Optimization
Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58348-58365
Learning Reward for Robot Skills Using Large Language Models via Self-Alignment
Yuwei Zeng, Yao Mu, Lin Shao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58366-58386
Graph Mixup on Approximate Gromov–Wasserstein Geodesics
Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58387-58406
Interacting Diffusion Processes for Event Sequence Forecasting
Mai Zeng, Florence Regol, Mark Coates; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58407-58430
IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers
Zhanpeng Zeng, Karthikeyan Sankaralingam, Vikas Singh; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58431-58447
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution
Johannes Zenn, Robert Bamler; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58448-58469
Robust Learning-Augmented Dictionaries
Ali Zeynali, Shahin Kamali, Mohammad Hajiesmaili; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58470-58483
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Jiayuan He, Yinghai Lu, Yu Shi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58484-58509
Tight Partial Identification of Causal Effects with Marginal Distribution of Unmeasured Confounders
Zhiheng Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58510-58562
DAG-Based Column Generation for Adversarial Team Games
Youzhi Zhang, Bo An, Daniel Dajun Zeng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58563-58578
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation
Junjie Zhang, Chenjia Bai, Haoran He, Zhigang Wang, Bin Zhao, Xiu Li, Xuelong Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58579-58598
Efficient Stochastic Approximation of Minimax Excess Risk Optimization
Lijun Zhang, Haomin Bai, Wei-Wei Tu, Ping Yang, Yao Hu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58599-58630
Discounted Adaptive Online Learning: Towards Better Regularization
Zhiyu Zhang, David Bombara, Heng Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58631-58661
Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning
Yuelin Zhang, Jiacheng Cen, Jiaqi Han, Zhiqiang Zhang, Jun Zhou, Wenbing Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58662-58679
Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation
Tonghe Zhang, Yu Chen, Longbo Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58680-58716
Verification of Machine Unlearning is Fragile
Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58717-58738
Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems
Bonan Zhang, Chia-Yu Chen, Naveen Verma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58739-58762
LQER: Low-Rank Quantization Error Reconstruction for LLMs
Cheng Zhang, Jianyi Cheng, George Anthony Constantinides, Yiren Zhao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58763-58779
Random Scaling and Momentum for Non-smooth Non-convex Optimization
Qinzi Zhang, Ashok Cutkosky; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58780-58799
Towards Certified Unlearning for Deep Neural Networks
Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58800-58818
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining
Qi Zhang, Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58819-58839
CaM: Cache Merging for Memory-efficient LLMs Inference
Yuxin Zhang, Yuxuan Du, Gen Luo, Yunshan Zhong, Zhenyu Zhang, Shiwei Liu, Rongrong Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58840-58850
Watermarks in the Sand: Impossibility of Strong Watermarking for Language Models
Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, Boaz Barak; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58851-58880
MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness
Yahong Zhang, Chenchen Fan, Donghui Chen, Congrui Li, Wenli Ouyang, Mingda Zhu, Junchi Yan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58881-58896
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58897-58934
Model-based Reinforcement Learning for Parameterized Action Spaces
Renhao Zhang, Haotian Fu, Yilin Miao, George Konidaris; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58935-58954
Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring
Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, Xiao-Ming Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58955-58966
Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought
Zhen-Yu Zhang, Siwei Han, Huaxiu Yao, Gang Niu, Masashi Sugiyama; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58967-58983
Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks
Guanhua Zhang, Moritz Hardt; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:58984-59002
Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment
Chen Zhang, Qiang He, Yuan Zhou, Elvis S. Liu, Hong Wang, Jian Zhao, Yang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59003-59023
On the Duality Between Sharpness-Aware Minimization and Adversarial Training
Yihao Zhang, Hangzhou He, Jingyu Zhu, Huanran Chen, Yifei Wang, Zeming Wei; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59024-59041
Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
Jiaqi Zhang, Joel Jennings, Agrin Hilmkil, Nick Pawlowski, Cheng Zhang, Chao Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59042-59065
Parameter-Efficient Fine-Tuning with Controls
Chi Zhang, Cheng Jingpu, Yanyu Xu, Qianxiao Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59066-59079
Deep Regression Representation Learning with Topology
Shihao Zhang, Kenji Kawaguchi, Angela Yao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59080-59099
Understanding Unimodal Bias in Multimodal Deep Linear Networks
Yedi Zhang, Peter E. Latham, Andrew M Saxe; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59100-59125
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
Thomas Tck Zhang, Bruce D Lee, Ingvar Ziemann, George J. Pappas, Nikolai Matni; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59126-59147
An Interpretable Evaluation of Entropy-based Novelty of Generative Models
Jingwei Zhang, Cheuk Ting Li, Farzan Farnia; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59148-59172
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59173-59190
S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59191-59209
DPZero: Private Fine-Tuning of Language Models without Backpropagation
Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59210-59246
Conditional Language Learning with Context
Xiao Zhang, Miao Li, Ji Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59247-59263
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation
Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59264-59288
BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation
Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59289-59309
Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering
Haoyu Zhang, Meng Liu, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59310-59328
Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction
He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59329-59357
UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis
Yunhao Zhang, Minghao Liu, Shengyang Zhou, Junchi Yan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59358-59381
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59382-59402
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59403-59420
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Shen Li, Yanli Zhao, Yuchen Hao, Yantao Yao, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59421-59434
Nonparametric Teaching of Implicit Neural Representations
Chen Zhang, Steven Tin Sui Luo, Jason Chun Lok Li, Yik Chung Wu, Ngai Wong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59435-59458
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning
Dake Zhang, Boxiang Lyu, Shuang Qiu, Mladen Kolar, Tong Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59459-59489
Sparse-to-dense Multimodal Image Registration via Multi-Task Learning
Kaining Zhang, Jiayi Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59490-59504
Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
Jie Zhang, Xiaosong Ma, Song Guo, Peng Li, Wenchao Xu, Xueyang Tang, Zicong Hong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59505-59519
In-Context Principle Learning from Mistakes
Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59520-59558
Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach
Bin Zhang, Hangyu Mao, Lijuan Li, Zhiwei Xu, Dapeng Li, Rui Zhao, Guoliang Fan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59559-59575
Sparsest Models Elude Pruning: An Exposé of Pruning’s Current Capabilities
Stephen Zhang, Vardan Papyan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59576-59600
A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
Xinwen Zhang, Ali Payani, Myungjin Lee, Richard Souvenir, Hongchang Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59601-59640
Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
Fangzhao Zhang, Mert Pilanci; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59641-59669
How Language Model Hallucinations Can Snowball
Muru Zhang, Ofir Press, William Merrill, Alisa Liu, Noah A. Smith; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59670-59684
Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models
Zixin Zhang, Fan Qi, Changsheng Xu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59685-59699
Online Resource Allocation with Non-Stationary Customers
Xiaoyue Zhang, Hanzhang Qin, Mabel Chou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59700-59730
Flexible Residual Binarization for Image Super-Resolution
Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59731-59740
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59741-59758
Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning
Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59759-59782
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
Lujing Zhang, Aaron Roth, Linjun Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59783-59805
Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning
Qiankun Zhang, Aocheng Shen, Boyu Zhang, Hanrui Jiang, Bingqian Du; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59806-59826
Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
Zongmeng Zhang, Yufeng Shi, Jinhua Zhu, Wengang Zhou, Xiang Qi, Peng Zhang, Houqiang Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59827-59850
Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
Yuyang Zhang, Shahriar Talebi, Na Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59851-59896
Matrix Information Theory for Self-Supervised Learning
Yifan Zhang, Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59897-59918
Switchable Decision: Dynamic Neural Generation Networks
Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59919-59931
Interpreting and Improving Large Language Models in Arithmetic Calculation
Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-Ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59932-59950
Directly Denoising Diffusion Models
Dan Zhang, Jingjing Wang, Feng Luo; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59951-59974
Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59975-59991
GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs
Zheng Zhang, Na Wang, Ziqi Zhang, Yao Zhang, Tianyi Zhang, Jianwei Liu, Ye Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59992-60003
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
Jiahan Zhang, Qi Wei, Feng Liu, Lei Feng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60004-60020
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
Yang Zhang, Zhewei Wei, Ye Yuan, Chongxuan Li, Wenbing Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60021-60039
Exploring the Benefit of Activation Sparsity in Pre-training
Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60040-60056
Causal Representation Learning from Multiple Distributions: A General Setting
Kun Zhang, Shaoan Xie, Ignavier Ng, Yujia Zheng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60057-60075
FESSNC: Fast Exponentially Stable and Safe Neural Controller
Jingdong Zhang, Luan Yang, Qunxi Zhu, Wei Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60076-60098
Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective
Yulong Zhang, Yuan Yao, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, Jiangang Lu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60099-60115
NExT-Chat: An LMM for Chat, Detection and Segmentation
Ao Zhang, Yuan Yao, Wei Ji, Zhiyuan Liu, Tat-Seng Chua; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60116-60133
Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
Kaihong Zhang, Heqi Yin, Feng Liang, Jingbo Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60134-60178
Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach
Weijia Zhang, Chenlong Yin, Hao Liu, Xiaofang Zhou, Hui Xiong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60179-60196
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60197-60219
Generalization Analysis for Multi-Label Learning
Yifan Zhang, Min-Ling Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60220-60243
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60244-60270
PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition
Ziyang Zhang, Qizhen Zhang, Jakob Nicolaus Foerster; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60271-60287
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60288-60304
Lightweight Image Super-Resolution via Flexible Meta Pruning
Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, Fisher Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60305-60314
Offline Training of Language Model Agents with Functions as Learnable Weights
Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60315-60335
Efficient Contextual Bandits with Uninformed Feedback Graphs
Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60336-60358
Efficient Denoising Diffusion via Probabilistic Masking
Weizhong Zhang, Zhiwei Zhang, Renjie Pi, Zhongming Jin, Yuan Gao, Jieping Ye, Kani Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60359-60378
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60379-60395
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases
Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60396-60413
Uncertainty-Aware Reward-Free Exploration with General Function Approximation
Junkai Zhang, Weitong Zhang, Dongruo Zhou, Quanquan Gu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60414-60445
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize
Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60446-60495
On the Expressive Power of Spectral Invariant Graph Neural Networks
Bohang Zhang, Lingxiao Zhao, Haggai Maron; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60496-60526
Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60527-60540
Neural Jump-Diffusion Temporal Point Processes
Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60541-60557
The Emergence of Reproducibility and Consistency in Diffusion Models
Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Peng Wang, Liyue Shen, Qing Qu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60558-60590
Transferable Facial Privacy Protection against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation
Kui Zhang, Hang Zhou, Jie Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60591-60604
Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization
Jinlu Zhang, Yiyi Zhou, Qiancheng Zheng, Xiaoxiong Du, Gen Luo, Jun Peng, Xiaoshuai Sun, Rongrong Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60605-60625
Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation
Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, Zhihao Jia; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60626-60643
Position: Measure Dataset Diversity, Don’t Just Claim It
Dora Zhao, Jerone Andrews, Orestis Papakyriakopoulos, Alice Xiang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60644-60673
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning
Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60674-60703
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Stephen Zhao, Rob Brekelmans, Alireza Makhzani, Roger Baker Grosse; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60704-60748
Image Fusion via Vision-Language Model
Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60749-60765
Learning and Forgetting Unsafe Examples in Large Language Models
Jiachen Zhao, Zhun Deng, David Madras, James Zou, Mengye Ren; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60766-60784
VideoPrism: A Foundational Visual Encoder for Video Understanding
Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60785-60811
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
Bowen Zhao, Hannaneh Hajishirzi, Qingqing Cao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60812-60831
Subgoal-based Demonstration Learning for Formal Theorem Proving
Xueliang Zhao, Wenda Li, Lingpeng Kong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60832-60865
Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence
Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60866-60905
Spider: A Unified Framework for Context-dependent Concept Segmentation
Xiaoqi Zhao, Youwei Pang, Wei Ji, Baicheng Sheng, Jiaming Zuo, Lihe Zhang, Huchuan Lu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60906-60926
Rethinking Adversarial Robustness in the Context of the Right to be Forgotten
Chenxu Zhao, Wei Qian, Yangyi Li, Aobo Chen, Mengdi Huai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60927-60939
Quantum Implicit Neural Representations
Jiaming Zhao, Wenbo Qiao, Peng Zhang, Hui Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60940-60956
Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective
Lei Zhao, Mengdi Wang, Yu Bai; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60957-61020
A Statistical Theory of Regularization-Based Continual Learning
Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61021-61039
Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
Zhe Zhao, Pengkun Wang, Haibin Wen, Wei Xu, Lai Song, Qingfu Zhang, Yang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61040-61071
Gradient-based Visual Explanation for Transformer-based CLIP
Chenyang Zhao, Kun Wang, Xingyu Zeng, Rui Zhao, Antoni B. Chan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61072-61091
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents
Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61092-61107
Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization
Xingyi Zhao, Depeng Xu, Shuhan Yuan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61108-61120
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61121-61143
When Will Gradient Regularization Be Harmful?
Yang Zhao, Hao Zhang, Xiuyuan Hu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61144-61158
LangCell: Language-Cell Pre-training for Cell Identity Understanding
Suyuan Zhao, Jiahuan Zhang, Yushuai Wu, Yizhen Luo, Zaiqing Nie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61159-61185
Optimistic Multi-Agent Policy Gradient
Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61186-61202
Clifford-Steerable Convolutional Neural Networks
Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61203-61228
3D-VLA: A 3D Vision-Language-Action Generative World Model
Haoyu Zhen, Xiaowen Qiu, Peihao Chen, Jincheng Yang, Xin Yan, Yilun Du, Yining Hong, Chuang Gan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61229-61245
How Does Goal Relabeling Improve Sample Efficiency?
Sirui Zheng, Chenjia Bai, Zhuoran Yang, Zhaoran Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61246-61266
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control
Ruijie Zheng, Ching-An Cheng, Hal Daumé Iii, Furong Huang, Andrey Kolobov; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61267-61286
Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics
Kaiping Zheng, Horng-Ruey Chua, Melanie Herschel, H. V. Jagadish, Beng Chin Ooi, James Wei Luen Yip; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61287-61320
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
Haoyang Zheng, Hengrong Du, Qi Feng, Wei Deng, Guang Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61321-61348
GPT-4V(ision) is a Generalist Web Agent, if Grounded
Boyuan Zheng, Boyu Gou, Jihyung Kil, Huan Sun, Yu Su; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61349-61385
Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale
Candi Zheng, Yuan Lan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61386-61412
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé Iii, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61413-61431
ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling
Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61432-61453
BAT: Learning to Reason about Spatial Sounds with Large Language Models
Zhisheng Zheng, Puyuan Peng, Ziyang Ma, Xie Chen, Eunsol Choi, David Harwath; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61454-61469
Conformal Predictions under Markovian Data
Frédéric Zheng, Alexandre Proutiere; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61470-61497
Detecting and Identifying Selection Structure in Sequential Data
Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61498-61525
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos
Zhicheng Zheng, Xin Yan, Zhenfang Chen, Jingzhou Wang, Qin Zhi Eddie Lim, Joshua B. Tenenbaum, Chuang Gan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61526-61558
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
Zhi Zheng, Shunyu Yao, Zhenkun Wang, Tong Xialiang, Mingxuan Yuan, Ke Tang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61559-61592
On Prompt-Driven Safeguarding for Large Language Models
Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61593-61613
Self-Infilling Code Generation
Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61614-61648
Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning
Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61649-61663
ERQ: Error Reduction for Post-Training Quantization of Vision Transformers
Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61664-61680
Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61681-61707
Towards Efficient Training and Evaluation of Robust Models against $l_0$ Bounded Adversarial Perturbations
Xuyang Zhong, Yixiao Huang, Chen Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61708-61726
GNNs Also Deserve Editing, and They Need It More Than Once
Shaochen Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61727-61746
Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference
Yan Zhong, Xingyu Wu, Li Zhang, Chenxi Yang, Tingting Jiang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61747-61762
Jacobian Regularizer-based Neural Granger Causality
Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61763-61782
Differentially Private Worst-group Risk Minimization
Xinyu Zhou, Raef Bassily; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61783-61803
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Xu Chi; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61804-61824
MD tree: a model-diagnostic tree grown on loss landscape
Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61825-61853
On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm
Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61854-61884
RoboDreamer: Learning Compositional World Models for Robot Imagination
Siyuan Zhou, Yilun Du, Jiaben Chen, Yandong Li, Dit-Yan Yeung, Chuang Gan; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61885-61896
MultiMax: Sparse and Multi-Modal Attention Learning
Yuxuan Zhou, Mario Fritz, Margret Keuper; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61897-61912
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
Tianchen Zhou, Fnu Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61913-61933
Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data
Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61934-61963
Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
Yibo Zhou, Hai-Miao Hu, Yirong Xiang, Xiaokang Zhang, Haotian Wu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61964-61978
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data
Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Min Wu, Dana Dachman-Soled; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:61979-62001
Conformalized Adaptive Forecasting of Heterogeneous Trajectories
Yanfei Zhou, Lars Lindemann, Matteo Sesia; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62002-62056
Sequential Kernel Goodness-of-fit Testing
Zhengyu Zhou, Weiwei Liu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62057-62075
RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation
Jiawei Zhou, Linye Lyu, Daojing He, Yu Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62076-62087
CurBench: Curriculum Learning Benchmark
Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan Liu, Wenwu Zhu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62088-62107
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting
Xiaoyu Zhou, Xingjian Ran, Yajiao Xiong, Jinlin He, Zhiwei Lin, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62108-62118
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process
Xiangxin Zhou, Liang Wang, Yichi Zhou; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62119-62137
Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models
Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62138-62160
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yu-Feng Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62161-62177
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL
Yifei Zhou, Andrea Zanette, Jiayi Pan, Sergey Levine, Aviral Kumar; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62178-62209
Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm
Fuzhong Zhou, Chenyu Zhang, Xu Chen, Xuan Di; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62210-62256
Effective Federated Graph Matching
Yang Zhou, Zijie Zhang, Zeru Zhang, Lingjuan Lyu, Wei-Shinn Ku; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62257-62293
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters
Yuhang Zhou, Zihua Zhao, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62294-62306
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62307-62331
Iterative Search Attribution for Deep Neural Networks
Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62332-62348
Generative Active Learning for Long-tailed Instance Segmentation
Muzhi Zhu, Chengxiang Fan, Hao Chen, Yang Liu, Weian Mao, Xiaogang Xu, Chunhua Shen; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62349-62368
Asymmetry in Low-Rank Adapters of Foundation Models
Jiacheng Zhu, Kristjan Greenewald, Kimia Nadjahi, Haitz Sáez De Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62369-62385
Improving Open-Ended Text Generation via Adaptive Decoding
Wenhong Zhu, Hongkun Hao, Zhiwei He, Yiming Ai, Rui Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62386-62404
Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF
Banghua Zhu, Michael Jordan, Jiantao Jiao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62405-62428
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Lianghui Zhu, Bencheng Liao, Qian Zhang, Xinlong Wang, Wenyu Liu, Xinggang Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62429-62442
Switched Flow Matching: Eliminating Singularities via Switching ODEs
Qunxi Zhu, Wei Lin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62443-62475
Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning
Libin Zhu, Chaoyue Liu, Adityanarayanan Radhakrishnan, Mikhail Belkin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62476-62509
Toward Availability Attacks in 3D Point Clouds
Yifan Zhu, Yibo Miao, Yinpeng Dong, Xiao-Shan Gao; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62510-62530
Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints
Tian Zhu, Milong Ren, Haicang Zhang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62531-62548
Online Learning in Betting Markets: Profit versus Prediction
Haiqing Zhu, Alexander Soen, Yun Kuen Cheung, Lexing Xie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62549-62580
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
Didi Zhu, Zhongyisun Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Chao Wu, Kun Kuang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62581-62598
Dynamic Evaluation of Large Language Models by Meta Probing Agents
Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62599-62617
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
Lin Zhu, Yifeng Yang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62618-62637
Language Models Represent Beliefs of Self and Others
Wentao Zhu, Zhining Zhang, Yizhou Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62638-62681
Stealthy Imitation: Reward-guided Environment-free Policy Stealing
Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62682-62706
Reinformer: Max-Return Sequence Modeling for Offline RL
Zifeng Zhuang, Dengyun Peng, Jinxin Liu, Ziqi Zhang, Donglin Wang; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62707-62722
COALA: A Practical and Vision-Centric Federated Learning Platform
Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62723-62742
GPTSwarm: Language Agents as Optimizable Graphs
Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, Jürgen Schmidhuber; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62743-62767
Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration
Zhengyang Zhuge, Peisong Wang, Xingting Yao, Jian Cheng; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62768-62778
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
Ingvar Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62779-62802
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62803-62814
Viewing Transformers Through the Lens of Long Convolutions Layers
Itamar Zimerman, Lior Wolf; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62815-62831
Emergence of In-Context Reinforcement Learning from Noise Distillation
Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62832-62846
Symmetry Induces Structure and Constraint of Learning
Liu Ziyin; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62847-62866
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy Hospedales; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62867-62891
Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations
Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, Bingchen Zhao, Timothy Hospedales; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62892-62913
Leveraging Attractor Dynamics in Spatial Navigation for Better Language Parsing
Xiaolong Zou, Xingxing Cao, Xiaojiao Yang, Bo Hong; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62914-62933
Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response
Bob Junyi Zou, Matthew E Levine, Dessi P. Zaharieva, Ramesh Johari, Emily Fox; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62934-62963
Compositional Few-Shot Class-Incremental Learning
Yixiong Zou, Shanghang Zhang, Haichen Zhou, Yuhua Li, Ruixuan Li; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62964-62977
BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization
Lancheng Zou, Wenqian Zhao, Shuo Yin, Chen Bai, Qi Sun, Bei Yu; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62978-62992
Active Statistical Inference
Tijana Zrnic, Emmanuel Candes; Proceedings of the 41st International Conference on Machine Learning, PMLR 235:62993-63010
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