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Editors: Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera
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Cross-Loss Influence Functions to Explain Deep Network Representations
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1-17
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Federated Reinforcement Learning with Environment Heterogeneity
Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:18-37
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On Linear Model with Markov Signal Priors
Lan V. Truong; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:38-53
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Maillard Sampling: Boltzmann Exploration Done Optimally
Jie Bian, Kwang-Sung Jun; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:54-72
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Norm-Agnostic Linear Bandits
Spencer B. Gales, Sunder Sethuraman, Kwang-Sung Jun; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:73-91
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Gaussian Process Bandit Optimization with Few Batches
Zihan Li, Jonathan Scarlett; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:92-107
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Approximate Function Evaluation via Multi-Armed Bandits
Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:108-135
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness
Yue Xing, Qifan Song, Guang Cheng; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:136-168
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System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy
Hyun-Suk Lee; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:169-187
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Deep Layer-wise Networks Have Closed-Form Weights
Chieh Tzu Wu, Aria Masoomi, Arthur Gretton, Jennifer Dy; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:188-225
Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates
Oliver Cobb, Arnaud Van Looveren, Janis Klaise; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:226-239
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Neural Contextual Bandits without Regret
Parnian Kassraie, Andreas Krause; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:240-278
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SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums
Jiabin Chen, Rui Yuan, Guillaume Garrigos, Robert M. Gower; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:279-318
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Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods
Baturalp Yalçın, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:319-341
k-experts - Online Policies and Fundamental Limits
Samrat Mukhopadhyay, Sourav Sahoo, Abhishek Sinha; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:342-365
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Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity
Eduard Gorbunov, Nicolas Loizou, Gauthier Gidel; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:366-402
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Multi-armed Bandit Algorithm against Strategic Replication
Suho Shin, Seungjoon Lee, Jungseul Ok; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:403-431
Gap-Dependent Bounds for Two-Player Markov Games
Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon Du; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:432-455
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Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits
Aadirupa Saha, Suprovat Ghoshal; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:456-482
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Exploring Image Regions Not Well Encoded by an INN
Zenan Ling, Fan Zhou, Meng Wei, Quanshi Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:483-509
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Finding Dynamics Preserving Adversarial Winning Tickets
Xupeng Shi, Pengfei Zheng, A. Adam Ding, Yuan Gao, Weizhong Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:510-528
Being a Bit Frequentist Improves Bayesian Neural Networks
Agustinus Kristiadi, Matthias Hein, Philipp Hennig; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:529-545
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Jointly Efficient and Optimal Algorithms for Logistic Bandits
Louis Faury, Marc Abeille, Kwang-Sung Jun, Clement Calauzenes; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:546-580
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Obtaining Causal Information by Merging Datasets with MAXENT
Sergio H. Garrido Mejia, Elke Kirschbaum, Dominik Janzing; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:581-603
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Distributed Sparse Multicategory Discriminant Analysis
Hengchao Chen, Qiang Sun; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:604-624
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Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations
Nicholas Krämer, Jonathan Schmidt, Philipp Hennig; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:625-639
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A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy
Kevin Bello, Chuyang Ke, Jean Honorio; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:640-654
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Marginalized Operators for Off-policy Reinforcement Learning
Yunhao Tang, Mark Rowland, Remi Munos, Michal Valko; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:655-679
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Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning
Xun Qian, Rustem Islamov, Mher Safaryan, Peter Richtarik; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:680-720
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Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations
Winnie Xu, Ricky T. Q. Chen, Xuechen Li, David Duvenaud; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:721-738
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Causally motivated shortcut removal using auxiliary labels
Maggie Makar, Ben Packer, Dan Moldovan, Davis Blalock, Yoni Halpern, Alexander D’Amour; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:739-766
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Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback
Anirban Santara, Gaurav Aggarwal, Shuai Li, Claudio Gentile; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:767-797
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Identity Testing of Reversible Markov Chains
Sela Fried, Geoffrey Wolfer; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:798-817
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Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data
Or Dinari, Oren Freifeld; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:818-835
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A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning
Youssef Diouane, Aurelien Lucchi, Vihang Prakash Patil; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:836-859
Adaptively Partitioning Max-Affine Estimators for Convex Regression
Gábor Balázs; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:860-874
Variational Marginal Particle Filters
Jinlin Lai, Justin Domke, Daniel Sheldon; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:875-895
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms
Nhat Ho, Tianyi Lin, Michael Jordan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:896-921
Robustness and Reliability When Training With Noisy Labels
Amanda Olmin, Fredrik Lindsten; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:922-942
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Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas, Francois-Xavier Briol; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:943-970
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A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits
Pierre Laforgue, Giulia Clerici, Nicolò Cesa-Bianchi, Ran Gilad-Bachrach; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:971-990
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Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
Anas Barakat, Pascal Bianchi, Julien Lehmann; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:991-1040
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Policy Learning and Evaluation with Randomized Quasi-Monte Carlo
Sébastien M. R. Arnold, Pierre L’Ecuyer, Liyu Chen, Yi-Fan Chen, Fei Sha; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1041-1061
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Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback
Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1062-1077
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Jiaxin Hu, Miaoyan Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1078-1119
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Fixed Support Tree-Sliced Wasserstein Barycenter
Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1120-1137
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k-Pareto Optimality-Based Sorting with Maximization of Choice
Jean Ruppert, Marharyta Aleksandrova, Thomas Engel; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1138-1160
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Towards Return Parity in Markov Decision Processes
Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1161-1178
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Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise
Vivek Farias, Andrew A. Li, Tianyi Peng; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1179-1189
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Survival regression with proper scoring rules and monotonic neural networks
David Rindt, Robert Hu, David Steinsaltz, Dino Sejdinovic; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1190-1205
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Physics Informed Deep Kernel Learning
Zheng Wang, Wei Xing, Robert Kirby, Shandian Zhe; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1206-1218
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Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization
Yaodong Yu, Tianyi Lin, Eric V. Mazumdar, Michael Jordan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1219-1250
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Heavy-tailed Streaming Statistical Estimation
Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1251-1282
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On Distributionally Robust Optimization and Data Rebalancing
Agnieszka Słowik, Leon Bottou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1283-1297
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Spiked Covariance Estimation from Modulo-Reduced Measurements
Elad Romanov, Or Ordentlich; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1298-1320
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A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows
Pedro Cisneros-Velarde, Francesco Bullo; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1321-1335
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Robust Probabilistic Time Series Forecasting
Taeho Yoon, Youngsuk Park, Ernest K. Ryu, Yuyang Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1336-1358
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VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition
Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1359-1379
Implicitly Regularized RL with Implicit Q-values
Nino Vieillard, Marcin Andrychowicz, Anton Raichuk, Olivier Pietquin, Matthieu Geist; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1380-1402
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A Witness Two-Sample Test
Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1403-1419
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Sample-and-threshold differential privacy: Histograms and applications
Graham Cormode, Akash Bharadwaj; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1420-1431
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Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution
Vlad Winter, Or Dinari, Oren Freifeld; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1432-1456
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A Complete Characterisation of ReLU-Invariant Distributions
Jan Macdonald, Stephan Wäldchen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1457-1484
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Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations
Chih-Kuan Yeh, Kuan-Yun Lee, Frederick Liu, Pradeep Ravikumar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1485-1502
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Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference
Luca Rendsburg, Agustinus Kristiadi, Philipp Hennig, Ulrike Von Luxburg; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1503-1526
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Equivariance Discovery by Learned Parameter-Sharing
Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson, Alexander Schwing; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1527-1545
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Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits
Youming Tao, Yulian Wu, Peng Zhao, Di Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1546-1574
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit
Wenkai Xu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1575-1597
Parametric Bootstrap for Differentially Private Confidence Intervals
Cecilia Ferrando, Shufan Wang, Daniel Sheldon; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1598-1618
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Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport
Alex Delalande; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1619-1642
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Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection
Cristian I. Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1643-1654
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Online Page Migration with ML Advice
Piotr Indyk, Frederik Mallmann-Trenn, Slobodan Mitrovic, Ronitt Rubinfeld; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1655-1670
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Policy Learning for Optimal Individualized Dose Intervals
Guanhua Chen, Xiaomao Li, Menggang Yu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1671-1693
Deep Multi-Fidelity Active Learning of High-Dimensional Outputs
Shibo Li, Zheng Wang, Robert Kirby, Shandian Zhe; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1694-1711
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Online Learning for Unknown Partially Observable MDPs
Mehdi Jafarnia Jahromi, Rahul Jain, Ashutosh Nayyar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1712-1732
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Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?
Lisha Chen, Tianyi Chen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1733-1774
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A Bayesian Model for Online Activity Sample Sizes
Thomas S. Richardson, Yu Liu, James Mcqueen, Doug Hains; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1775-1785
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Parallel MCMC Without Embarrassing Failures
Daniel A. De Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1786-1804
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Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond
Dheeraj Baby, Yu-Xiang Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1805-1845
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Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees
Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1846-1870
Spectral risk-based learning using unbounded losses
Matthew J. Holland, El Mehdi Haress; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1871-1886
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A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization
Donghao Ying, Yuhao Ding, Javad Lavaei; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1887-1909
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On the Global Optimum Convergence of Momentum-based Policy Gradient
Yuhao Ding, Junzi Zhang, Javad Lavaei; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1910-1934
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Feature screening with kernel knockoffs
Benjamin Poignard, Peter J. Naylor, Héctor Climente-González, Makoto Yamada; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1935-1974
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Bias-Variance Decompositions for Margin Losses
Danny Wood, Tingting Mu, Gavin Brown; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1975-2001
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Grassmann Stein Variational Gradient Descent
Xing Liu, Harrison Zhu, Jean-Francois Ton, George Wynne, Andrew Duncan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2002-2021
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Nonstochastic Bandits and Experts with Arm-Dependent Delays
Dirk Van Der Hoeven, Nicolò Cesa-Bianchi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2022-2044
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Improved analysis of randomized SVD for top-eigenvector approximation
Ruo-Chun Tzeng, Po-An Wang, Florian Adriaens, Aristides Gionis, Chi-Jen Lu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2045-2072
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p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets
Alexander Munteanu, Simon Omlor, Christian Peters; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2073-2100
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Non-stationary Online Learning with Memory and Non-stochastic Control
Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2101-2133
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Dimensionality Reduction and Prioritized Exploration for Policy Search
Marius Memmel, Puze Liu, Davide Tateo, Jan Peters; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2134-2157
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?
Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2158-2172
Improving Attribution Methods by Learning Submodular Functions
Piyushi Manupriya, Tarun Ram Menta, Sakethanath N. Jagarlapudi, Vineeth N. Balasubramanian; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2173-2190
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Conditional Gradients for the Approximately Vanishing Ideal
Elias S. Wirth, Sebastian Pokutta; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2191-2209
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Efficient Algorithms for Extreme Bandits
Dorian Baudry, Yoan Russac, Emilie Kaufmann; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2210-2248
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Rejection sampling from shape-constrained distributions in sublinear time
Sinho Chewi, Patrik R. Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2249-2265
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Learning Inconsistent Preferences with Gaussian Processes
Siu Lun Chau, Javier Gonzalez, Dino Sejdinovic; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2266-2281
Bayesian Classifier Fusion with an Explicit Model of Correlation
Susanne Trick, Constantin Rothkopf; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2282-2310
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Conditionally Gaussian PAC-Bayes
Eugenio Clerico, George Deligiannidis, Arnaud Doucet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2311-2329
Leveraging Time Irreversibility with Order-Contrastive Pre-training
Monica N. Agrawal, Hunter Lang, Michael Offin, Lior Gazit, David Sontag; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2330-2353
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Moment Matching Deep Contrastive Latent Variable Models
Ethan Weinberger, Nicasia Beebe-Wang, Su-In Lee; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2354-2371
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Unifying Importance Based Regularisation Methods for Continual Learning
Frederik Benzing; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2372-2396
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Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown
Adrian Rivera Cardoso, Ryan Rogers; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2397-2419
Confident Least Square Value Iteration with Local Access to a Simulator
Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvari; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2420-2435
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Safe Optimal Design with Applications in Off-Policy Learning
Ruihao Zhu, Branislav Kveton; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2436-2447
Accurate Shapley Values for explaining tree-based models
Salim I. Amoukou, Tangi Salaün, Nicolas Brunel; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2448-2465
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A Single-Timescale Method for Stochastic Bilevel Optimization
Tianyi Chen, Yuejiao Sun, Quan Xiao, Wotao Yin; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2466-2488
Strategic ranking
Lydia T. Liu, Nikhil Garg, Christian Borgs; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2489-2518
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Encrypted Linear Contextual Bandit
Evrard Garcelon, Matteo Pirotta, Vianney Perchet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2519-2551
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Density Ratio Estimation via Infinitesimal Classification
Kristy Choi, Chenlin Meng, Yang Song, Stefano Ermon; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2552-2573
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning
Jihun Yun, Aurelie Lozano, Eunho Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2574-2606
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion
Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin Tripp, Yuejie Chi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2607-2617
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Pairwise Supervision Can Provably Elicit a Decision Boundary
Han Bao, Takuya Shimada, Liyuan Xu, Issei Sato, Masashi Sugiyama; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2618-2640
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2641-2657
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On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction
Jiawei Huang, Nan Jiang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2658-2705
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Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function
Oliver E. Richardson; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2706-2735
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Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games
Yulai Zhao, Yuandong Tian, Jason Lee, Simon Du; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2736-2761
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One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation
Hajime Ono, Kazuhiro Minami, Hideitsu Hino; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2762-2783
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably
Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2784-2802
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Robust Deep Learning from Crowds with Belief Propagation
Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2803-2822
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Sampling from Arbitrary Functions via PSD Models
Ulysse Marteau-Ferey, Francis Bach, Alessandro Rudi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2823-2861
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Uncertainty Quantification for Bayesian Optimization
Rui Tuo, Wenjia Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2862-2884
Metalearning Linear Bandits by Prior Update
Amit Peleg, Naama Pearl, Ron Meir; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2885-2926
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Fast Rank-1 NMF for Missing Data with KL Divergence
Kazu Ghalamkari, Mahito Sugiyama; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2927-2940
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Randomized Stochastic Gradient Descent Ascent
Othmane Sebbouh, Marco Cuturi, Gabriel Peyré; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2941-2969
Aligned Multi-Task Gaussian Process
Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill Campbell; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2970-2988
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Generative Models as Distributions of Functions
Emilien Dupont, Yee Whye Teh, Arnaud Doucet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2989-3015
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ContextGen: Targeted Data Generation for Low Resource Domain Specific Text Classification
Lukas Fromme, Jasmina Bogojeska, Jonas Kuhn; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3016-3027
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Super-Acceleration with Cyclical Step-sizes
Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut, Adrien B. Taylor, Fabian Pedregosa; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3028-3065
On PAC-Bayesian reconstruction guarantees for VAEs
Badr-Eddine Chérief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3066-3079
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MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3080-3090
Random Effect Bandits
Rong Zhu, Branislav Kveton; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3091-3107
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DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search
Matti Karppa, Martin Aumüller, Rasmus Pagh; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3108-3137
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Embedded Ensembles: infinite width limit and operating regimes
Maksim Velikanov, Roman V. Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3138-3163
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State Dependent Performative Prediction with Stochastic Approximation
Qiang Li, Hoi-To Wai; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3164-3186
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Reward-Free Policy Space Compression for Reinforcement Learning
Mirco Mutti, Stefano Del Col, Marcello Restelli; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3187-3203
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Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures
Matias Altamirano, Felipe Tobar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3204-3218
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Learning Quantile Functions for Temporal Point Processes with Recurrent Neural Splines
Souhaib Ben Taieb; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3219-3241
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Differentially Private Regression with Unbounded Covariates
Jason Milionis, Alkis Kalavasis, Dimitris Fotakis, Stratis Ioannidis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3242-3273
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Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation
Honghao Wei, Xin Liu, Lei Ying; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3274-3307
Measuring the robustness of Gaussian processes to kernel choice
William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer Deshpande, Tamara Broderick; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3308-3331
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A general sample complexity analysis of vanilla policy gradient
Rui Yuan, Robert M. Gower, Alessandro Lazaric; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3332-3380
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Pairwise Fairness for Ordinal Regression
Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3381-3417
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LIMESegment: Meaningful, Realistic Time Series Explanations
Torty Sivill, Peter Flach; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3418-3433
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A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions
Ben Adlam, Jake A. Levinson, Jeffrey Pennington; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3434-3457
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Spectral Pruning for Recurrent Neural Networks
Takashi Furuya, Kazuma Suetake, Koichi Taniguchi, Hiroyuki Kusumoto, Ryuji Saiin, Tomohiro Daimon; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3458-3482
Many processors, little time: MCMC for partitions via optimal transport couplings
Tin D. Nguyen, Brian L. Trippe, Tamara Broderick; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3483-3514
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Sinkformers: Transformers with Doubly Stochastic Attention
Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3515-3530
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Finding Nearly Everything within Random Binary Networks
Kartik Sreenivasan, Shashank Rajput, Jy-Yong Sohn, Dimitris Papailiopoulos; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3531-3541
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Last Layer Marginal Likelihood for Invariance Learning
Pola Schwöbel, Martin Jørgensen, Sebastian W. Ober, Mark Van Der Wilk; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3542-3555
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Minimax Optimization: The Case of Convex-Submodular
Arman Adibi, Aryan Mokhtari, Hamed Hassani; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3556-3580
Federated Learning with Buffered Asynchronous Aggregation
John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Mike Rabbat, Mani Malek, Dzmitry Huba; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3581-3607
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Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding
Jiajing Zheng, Alexander D’Amour, Alexander Franks; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3608-3626
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Deep Neyman-Scott Processes
Chengkuan Hong, Christian Shelton; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3627-3646
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CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models
Yirui Liu, Xinghao Qiao, Jessica Lam; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3647-3662
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Certifiably Robust Variational Autoencoders
Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3663-3683
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums
Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3684-3708
On Margins and Derandomisation in PAC-Bayes
Felix Biggs, Benjamin Guedj; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3709-3731
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A Spectral Perspective of DNN Robustness to Label Noise
Oshrat Bar, Amnon Drory, Raja Giryes; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3732-3752
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Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
Guanghui Wang, Ming Yang, Lijun Zhang, Tianbao Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3753-3771
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Computing D-Stationary Points of $ρ$-Margin Loss SVM
Lai Tian, Anthony Man-Cho So; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3772-3793
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A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality
Xuhui Zhang, Jose Blanchet, Soumyadip Ghosh, Mark S. Squillante; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3794-3820
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An Information-Theoretic Justification for Model Pruning
Berivan Isik, Tsachy Weissman, Albert No; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3821-3846
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Flexible Accuracy for Differential Privacy
Aman Bansal, Rahul Chunduru, Deepesh Data, Manoj Prabhakaran; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3847-3882
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
Yue Wu, Dongruo Zhou, Quanquan Gu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3883-3913
On Facility Location Problem in the Local Differential Privacy Model
Vincent Cohen-Addad, Yunus Esencayi, Chenglin Fan, Marco Gaboradi, Shi Li, Di Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3914-3929
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Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent
Tongzheng Ren, Fuheng Cui, Alexia Atsidakou, Sujay Sanghavi, Nhat Ho; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3930-3961
MLDemon:Deployment Monitoring for Machine Learning Systems
Tony Ginart, Martin Jinye Zhang, James Zou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3962-3997
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How to Learn when Data Gradually Reacts to Your Model
Zachary Izzo, James Zou, Lexing Ying; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3998-4035
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Mitigating Bias in Calibration Error Estimation
Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4036-4054
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Privacy Amplification by Subsampling in Time Domain
Tatsuki Koga, Casey Meehan, Kamalika Chaudhuri; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4055-4069
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How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
Shivam Garg, Santosh Vempala; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4070-4108
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Gap-Dependent Unsupervised Exploration for Reinforcement Learning
Jingfeng Wu, Vladimir Braverman, Lin Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4109-4131
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On the Generalization of Representations in Reinforcement Learning
Charline Le Lan, Stephen Tu, Adam Oberman, Rishabh Agarwal, Marc G. Bellemare; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4132-4157
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Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects
Yao Zhang, Jeroen Berrevoets, Mihaela Van Der Schaar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4158-4177
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Learning a Single Neuron for Non-monotonic Activation Functions
Lei Wu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4178-4197
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Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis
Jiaye Teng, Weiran Huang, Haowei He; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4198-4216
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Model-free Policy Learning with Reward Gradients
Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi, Rupam Mahmood; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4217-4234
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Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes
Zhiyuan Jerry Lin, Raul Astudillo, Peter Frazier, Eytan Bakshy; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4235-4258
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Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs
Jiafan He, Dongruo Zhou, Quanquan Gu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4259-4280
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization
Kiran K. Thekumparampil, Niao He, Sewoong Oh; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4281-4308
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Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients
Fan Wang, Oscar Madrid, Yi Yu, Alessandro Rinaldo; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4309-4338
Optimal partition recovery in general graphs
Yi Yu, Oscar Madrid, Alessandro Rinaldo; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4339-4358
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization
Jungtaek Kim, Seungjin Choi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4359-4375
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Offline Policy Selection under Uncertainty
Mengjiao Yang, Bo Dai, Ofir Nachum, George Tucker, Dale Schuurmans; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4376-4396
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
Khang Le, Huy Nguyen, Khai Nguyen, Tung Pham, Nhat Ho; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4397-4413
Independent Natural Policy Gradient always converges in Markov Potential Games
Roy Fox, Stephen M. Mcaleer, Will Overman, Ioannis Panageas; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4414-4425
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Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness
Beomsu Kim, Junghoon Seo; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4426-4445
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models
Alejandro Catalina, Paul-Christian Bürkner, Aki Vehtari; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4446-4461
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Point Cloud Generation with Continuous Conditioning
Larissa T. Triess, Andre Bühler, David Peter, Fabian B. Flohr, Marius Zöllner; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4462-4481
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An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints
Adil Salim, Laurent Condat, Dmitry Kovalev, Peter Richtarik; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4482-4498
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic, Maartje A. Ter Hoeve, Gabriele Tolomei, Maarten De Rijke, Fabrizio Silvestri; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4499-4511
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Safe Active Learning for Multi-Output Gaussian Processes
Cen-You Li, Barbara Rakitsch, Christoph Zimmer; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4512-4551
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Variational Continual Proxy-Anchor for Deep Metric Learning
Minyoung Kim, Ricardo Guerrero, Hai X. Pham, Vladimir Pavlovic; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4552-4573
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Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis
Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, Himabindu Lakkaraju; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4574-4594
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Variational Autoencoders: A Harmonic Perspective
Alexander Camuto, Matthew Willetts; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4595-4611
On the Consistency of Max-Margin Losses
Alex Nowak, Alessandro Rudi, Francis Bach; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4612-4633
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A prior-based approximate latent Riemannian metric
Georgios Arvanitidis, Bogdan M. Georgiev, Bernhard Schölkopf; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4634-4658
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On Convergence of Lookahead in Smooth Games
Junsoo Ha, Gunhee Kim; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4659-4684
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Learning Proposals for Practical Energy-Based Regression
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4685-4704
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Predicting the impact of treatments over time with uncertainty aware neural differential equations.
Edward De Brouwer, Javier Gonzalez, Stephanie Hyland; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4705-4722
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Improved Algorithms for Misspecified Linear Markov Decision Processes
Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R Srikant; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4723-4746
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Synthsonic: Fast, Probabilistic modeling and Synthesis of Tabular Data
Max Baak, Simon Brugman, Ilan Fridman Rojas, Lorraine Dalmeida, Ralph E.Q. Urlus, Jean-Baptiste Oger; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4747-4763
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Lagrangian manifold Monte Carlo on Monge patches
Marcelo Hartmann, Mark Girolami, Arto Klami; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4764-4781
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Optimal Accounting of Differential Privacy via Characteristic Function
Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4782-4817
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Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets
Felix Opolka, Yin-Cong Zhi, Pietro Lió, Xiaowen Dong; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4818-4834
Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes
Felix Opolka, Pietro Lió; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4835-4852
On the Interplay between Information Loss and Operation Loss in Representations for Classification
Jorge Silva, Felipe Tobar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4853-4871
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Pulling back information geometry
Georgios Arvanitidis, Miguel González-Duque, Alison Pouplin, Dimitrios Kalatzis, Soren Hauberg; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4872-4894
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Optimizing Early Warning Classifiers to Control False Alarms via a Minimum Precision Constraint
Preetish Rath, Michael Hughes; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4895-4914
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Resampling Base Distributions of Normalizing Flows
Vincent Stimper, Bernhard Schölkopf, Jose Miguel Hernandez-Lobato; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4915-4936
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Federated Myopic Community Detection with One-shot Communication
Chuyang Ke, Jean Honorio; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4937-4954
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Variational Gaussian Processes: A Functional Analysis View
George Wynne, Veit Wild; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4955-4971
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Adversarially Robust Kernel Smoothing
Jia-Jie Zhu, Christina Kouridi, Yassine Nemmour, Bernhard Schölkopf; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4972-4994
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Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe
Thibault Sejourne, Francois-Xavier Vialard, Gabriel Peyré; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4995-5021
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Off-Policy Risk Assessment for Markov Decision Processes
Audrey Huang, Liu Leqi, Zachary Lipton, Kamyar Azizzadenesheli; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5022-5050
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Predictive variational Bayesian inference as risk-seeking optimization
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5051-5083
Kantorovich Mechanism for Pufferfish Privacy
Ni Ding; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5084-5103
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Margin-distancing for safe model explanation
Tom Yan, Chicheng Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5104-5134
Optimal transport with $f$-divergence regularization and generalized Sinkhorn algorithm
Dávid Terjék, Diego González-Sánchez; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5135-5165
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Modelling Non-Smooth Signals with Complex Spectral Structure
Wessel P. Bruinsma, Martin Tegnér, Richard E. Turner; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5166-5195
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Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers
Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5196-5211
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Particle-based Adversarial Local Distribution Regularization
Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Phung; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5212-5224
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Crowdsourcing Regression: A Spectral Approach
Yaniv Tenzer, Omer Dror, Boaz Nadler, Erhan Bilal, Yuval Kluger; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5225-5242
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How to scale hyperparameters for quickshift image segmentation
Damien Garreau; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5243-5275
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Wide Mean-Field Bayesian Neural Networks Ignore the Data
Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5276-5333
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Privacy Amplification by Decentralization
Edwige Cyffers, Aurélien Bellet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5334-5353
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Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Animashree Anandkumar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5354-5390
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New Coresets for Projective Clustering and Applications
Murad Tukan, Xuan Wu, Samson Zhou, Vladimir Braverman, Dan Feldman; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5391-5415
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Weak Separation in Mixture Models and Implications for Principal Stratification
Nhat Ho, Avi Feller, Evan Greif, Luke Miratrix, Natesh Pillai; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5416-5458
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Using time-series privileged information for provably efficient learning of prediction models
Rickard K.A. Karlsson, Martin Willbo, Zeshan M. Hussain, Rahul G. Krishnan, David Sontag, Fredrik Johansson; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5459-5484
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Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
Junchi Yang, Antonio Orvieto, Aurelien Lucchi, Niao He; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5485-5517
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TD-GEN: Graph Generation Using Tree Decomposition
Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5518-5537
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge
Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5538-5562
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5563-5582
Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
Vibhor Porwal, Piyush Srivastava, Gaurav Sinha; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5583-5603
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Estimators of Entropy and Information via Inference in Probabilistic Models
Feras Saad, Marco Cusumano-Towner, Vikash Mansinghka; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5604-5621
Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE
Yuqing Zhu, Yu-Xiang Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5622-5635
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Fast and accurate optimization on the orthogonal manifold without retraction
Pierre Ablin, Gabriel Peyré; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5636-5657
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Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms
Romain Laroche, Remi Tachet Des Combes; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5658-5688
Efficient Kernelized UCB for Contextual Bandits
Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5689-5720
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Acceleration in Distributed Optimization under Similarity
Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander Gasnikov; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5721-5756
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Corruption-robust Offline Reinforcement Learning
Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5757-5773
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A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning
Alix Lheritier, Nicolas Bondoux; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5774-5789
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Orbital MCMC
Kirill Neklyudov, Max Welling; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5790-5814
PAC Mode Estimation using PPR Martingale Confidence Sequences
Shubham Anand Jain, Rohan Shah, Sanit Gupta, Denil Mehta, Inderjeet J. Nair, Jian Vora, Sushil Khyalia, Sourav Das, Vinay J. Ribeiro, Shivaram Kalyanakrishnan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5815-5852
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Harmless interpolation in regression and classification with structured features
Andrew D. Mcrae, Santhosh Karnik, Mark Davenport, Vidya K. Muthukumar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5853-5875
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Masked Training of Neural Networks with Partial Gradients
Amirkeivan Mohtashami, Martin Jaggi, Sebastian Stich; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5876-5890
Learning in Stochastic Monotone Games with Decision-Dependent Data
Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian Ratliff; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5891-5912
On Combining Bags to Better Learn from Label Proportions
Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5913-5927
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Meta Learning MDPs with linear transition models
Robert Müller, Aldo Pacchiano; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5928-5948
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Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals
James Brofos, Marylou Gabrie, Marcus A. Brubaker, Roy R. Lederman; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5949-5986
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Permutation Equivariant Layers for Higher Order Interactions
Horace Pan, Risi Kondor; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5987-6001
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Efficient Online Bayesian Inference for Neural Bandits
Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6002-6021
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Parameter-Free Online Linear Optimization with Side Information via Universal Coin Betting
Jongha J. Ryu, Alankrita Bhatt, Young-Han Kim; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6022-6044
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Performative Prediction in a Stateful World
Gavin Brown, Shlomi Hod, Iden Kalemaj; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6045-6061
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Learning Revenue-Maximizing Auctions With Differentiable Matching
Michael J. Curry, Uro Lyi, Tom Goldstein, John P. Dickerson; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6062-6073
Orthogonal Multi-Manifold Enriching of Directed Networks
Ramit Sawhney, Shivam Agarwal, Atula T. Neerkaje, Kapil Jayesh Pathak; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6074-6086
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Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression
Pratik Patil, Alessandro Rinaldo, Ryan Tibshirani; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6087-6120
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The Tree Loss: Improving Generalization with Many Classes
Yujie Wang, Mike Izbicki; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6121-6133
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Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
Michalis Titsias, Jiaxin Shi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6134-6151
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Transfer Learning with Gaussian Processes for Bayesian Optimization
Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6152-6181
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Conditional Linear Regression for Heterogeneous Covariances
Leda Liang, Brendan Juba; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6182-6199
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Learning Competitive Equilibria in Exchange Economies with Bandit Feedback
Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael Jordan, Ion Stoica; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6200-6224
Node Feature Kernels Increase Graph Convolutional Network Robustness
Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6225-6241
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Top K Ranking for Multi-Armed Bandit with Noisy Evaluations
Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6242-6269
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Differential privacy for symmetric log-concave mechanisms
Staal A. Vinterbo; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6270-6291
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Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization
Yujia Wang, Lu Lin, Jinghui Chen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6292-6320
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Fair Disaster Containment via Graph-Cut Problems
Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6321-6333
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Provable Lifelong Learning of Representations
Xinyuan Cao, Weiyang Liu, Santosh Vempala; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6334-6356
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Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya K. Muthukumar, Ashwin Pananjady; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6357-6386
A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center
Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6387-6408
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Iterative Alignment Flows
Zeyu Zhou, Ziyu Gong, Pradeep Ravikumar, David I. Inouye; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6409-6444
Fast Fourier Transform Reductions for Bayesian Network Inference
Vincent Hsiao, Dana Nau, Rina Dechter; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6445-6458
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QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning
Maxime Vono, Vincent Plassier, Alain Durmus, Aymeric Dieuleveut, Eric Moulines; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6459-6500
Lifted Division for Lifted Hugin Belief Propagation
Moritz P. Hoffmann, Tanya Braun, Ralf Möller; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6501-6510
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Proximal Optimal Transport Modeling of Population Dynamics
Charlotte Bunne, Laetitia Papaxanthos, Andreas Krause, Marco Cuturi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6511-6528
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Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits
Chuanhao Li, Hongning Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6529-6553
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Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6554-6572
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Are All Linear Regions Created Equal?
Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Marten Bjorkman; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6573-6590
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Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms
Joshua Agterberg, Jeremias Sulam; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6591-6629
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An Alternate Policy Gradient Estimator for Softmax Policies
Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, Rupam Mahmood; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6630-6689
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Co-Regularized Adversarial Learning for Multi-Domain Text Classification
Yuan Wu, Diana Inkpen, Ahmed El-Roby; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6690-6701
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Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization
Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, Shankar Sastry, Lillian Ratliff; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6702-6734
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Near Instance Optimal Model Selection for Pure Exploration Linear Bandits
Yinglun Zhu, Julian Katz-Samuels, Robert Nowak; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6735-6769
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Identification in Tree-shaped Linear Structural Causal Models
Benito Van Der Zander, Marcel Wienöbst, Markus Bläser, Maciej Liskiewicz; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6770-6792
Pareto Optimal Model Selection in Linear Bandits
Yinglun Zhu, Robert Nowak; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6793-6813
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PAC Top-$k$ Identification under SST in Limited Rounds
Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6814-6839
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Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6840-6861
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Dual-Level Adaptive Information Filtering for Interactive Image Segmentation
Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne Haake; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6862-6879
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On the Value of Prior in Online Learning to Rank
Branislav Kveton, Ofer Meshi, Masrour Zoghi, Zhen Qin; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6880-6892
Doubly Mixed-Effects Gaussian Process Regression
Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6893-6908
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Weighted Gaussian Process Bandits for Non-stationary Environments
Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness Shroff; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6909-6932
Conditionally Tractable Density Estimation using Neural Networks
Hailiang Dong, Chiradeep Roy, Tahrima Rahman, Vibhav Gogate, Nicholas Ruozzi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6933-6946
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Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning
Hsu Kao, Vijay Subramanian; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6947-6967
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Sensing Cox Processes via Posterior Sampling and Positive Bases
Mojmir Mutny, Andreas Krause; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6968-6989
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A Predictive Approach to Bayesian Nonparametric Survival Analysis
Edwin Fong, Brieuc Lehmann; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6990-7013
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On the equivalence of Oja’s algorithm and GROUSE
Laura Balzano; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7014-7030
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Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes
Elvis Nava, Mojmir Mutny, Andreas Krause; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7031-7054
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Label differential privacy via clustering
Hossein Esfandiari, Vahab Mirrokni, Umar Syed, Sergei Vassilvitskii; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7055-7075
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Neural score matching for high-dimensional causal inference
Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris Holmes; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7076-7110
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
Qin Ding, Cho-Jui Hsieh, James Sharpnack; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7111-7123
Multi-class classification in nonparametric active learning
Boris Ndjia Njike, Xavier Siebert; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7124-7162
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On the Assumptions of Synthetic Control Methods
Claudia Shi, Dhanya Sridhar, Vishal Misra, David Blei; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7163-7175
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning
Anant Raj, Pooria Joulani, Andras Gyorgy, Csaba Szepesvari; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7176-7186
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Investigating the Role of Negatives in Contrastive Representation Learning
Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Dipendra Misra; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7187-7209
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference
Amiremad Ghassami, Andrew Ying, Ilya Shpitser, Eric Tchetgen Tchetgen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7210-7239
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Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis
Dominic Danks, Christopher Yau; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7240-7256
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Cycle Consistent Probability Divergences Across Different Spaces
Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath Sriperumbudur; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7257-7285
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Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning
Yingyi Ma, Xinhua Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7286-7299
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A Bandit Model for Human-Machine Decision Making with Private Information and Opacity
Sebastian Bordt, Ulrike Von Luxburg; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7300-7319
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Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7320-7348
Adaptive Multi-Goal Exploration
Jean Tarbouriech, Omar Darwiche Domingues, Pierre Menard, Matteo Pirotta, Michal Valko, Alessandro Lazaric; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7349-7383
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Chernoff Sampling for Active Testing and Extension to Active Regression
Subhojyoti Mukherjee, Ardhendu S. Tripathy, Robert Nowak; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7384-7432
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel Rodrigues; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7433-7449
Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models
Eli N. Weinstein, Alan N. Amin, Will S. Grathwohl, Daniel Kassler, Jean Disset, Debora Marks; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7450-7482
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Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances
Ruida Zhou, Chao Tian; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7483-7504
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On perfectness in Gaussian graphical models
Arash Amini, Bryon Aragam, Qing Zhou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7505-7517
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GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL
Sumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7518-7530
Efficient interventional distribution learning in the PAC framework
Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, Vedant Raval, Vinodchandran N. Variyam; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7531-7549
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Dropout as a Regularizer of Interaction Effects
Benjamin J. Lengerich, Eric Xing, Rich Caruana; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7550-7564
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Thompson Sampling with a Mixture Prior
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7565-7586
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification
Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7587-7624
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Nearly Optimal Algorithms for Level Set Estimation
Blake Mason, Lalit Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin Jamieson, Robert Nowak; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7625-7658
Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization
Guodong Zhang, Yuanhao Wang, Laurent Lessard, Roger B. Grosse; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7659-7679
Optimal Compression of Locally Differentially Private Mechanisms
Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7680-7723
Hierarchical Bayesian Bandits
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7724-7741
Complex Momentum for Optimization in Games
Jonathan P. Lorraine, David Acuna, Paul Vicol, David Duvenaud; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7742-7765
Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches
Hao Wu, Anthony Wirth; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7766-7798
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Tuning-Free Generalized Hamiltonian Monte Carlo
Matthew D. Hoffman, Pavel Sountsov; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7799-7813
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Federated Functional Gradient Boosting
Zebang Shen, Hamed Hassani, Satyen Kale, Amin Karbasi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7814-7840
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Generalised GPLVM with Stochastic Variational Inference
Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7841-7864
Stochastic Extragradient: General Analysis and Improved Rates
Eduard Gorbunov, Hugo Berard, Gauthier Gidel, Nicolas Loizou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7865-7901
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Deep Non-crossing Quantiles through the Partial Derivative
Axel Brando, Barcelona Supercomputing Center, )*; and Joan Gimeno, Jose Rodriguez-Serrano, Jordi Vitria; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7902-7914
Optimal channel selection with discrete QCQP
Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7915-7941
Vanishing Curvature in Randomly Initialized Deep ReLU Networks
Antonio Orvieto, Jonas Kohler, Dario Pavllo, Thomas Hofmann, Aurelien Lucchi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7942-7975
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes
Hugh Dance, Brooks Paige; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7976-8002
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Self-training Converts Weak Learners to Strong Learners in Mixture Models
Spencer Frei, Difan Zou, Zixiang Chen, Quanquan Gu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8003-8021
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Two-Sample Test with Kernel Projected Wasserstein Distance
Jie Wang, Rui Gao, Yao Xie; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8022-8055
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Mode estimation on matrix manifolds: Convergence and robustness
Hiroaki Sasaki, Jun-Ichiro Hirayama, Takafumi Kanamori; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8056-8079
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A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence
Alex R. Dytso, Mario Goldenbaum, H. Vincent Poor, Shlomo Shamai; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8080-8094
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Towards Federated Bayesian Network Structure Learning with Continuous Optimization
Ignavier Ng, Kun Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8095-8111
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Nuances in Margin Conditions Determine Gains in Active Learning
Samory Kpotufe, Gan Yuan, Yunfan Zhao; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8112-8126
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Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
Youngsuk Park, Danielle Maddix, François-Xavier Aubet, Kelvin Kan, Jan Gasthaus, Yuyang Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8127-8150
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Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence
Murat A. Erdogdu, Rasa Hosseinzadeh, Shunshi Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8151-8175
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On the Convergence of Continuous Constrained Optimization for Structure Learning
Ignavier Ng, Sebastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien, Kun Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8176-8198
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Hardness of Learning a Single Neuron with Adversarial Label Noise
Ilias Diakonikolas, Daniel Kane, Pasin Manurangsi, Lisheng Ren; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8199-8213
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Firebolt: Weak Supervision Under Weaker Assumptions
Zhaobin Kuang, Chidubem G. Arachie, Bangyong Liang, Pradyumna Narayana, Giulia Desalvo, Michael S. Quinn, Bert Huang, Geoffrey Downs, Yang Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8214-8259
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Relational Neural Markov Random Fields
Yuqiao Chen, Sriraam Natarajan, Nicholas Ruozzi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8260-8269
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PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime
Warren R. Morningstar, Alex Alemi, Joshua V. Dillon; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8270-8298
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Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape
Devansh Bisla, Jing Wang, Anna Choromanska; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8299-8339
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Online Control of the False Discovery Rate under "Decision Deadlines"
Aaron J. Fisher; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8340-8359
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation
Shuai Xiao, Zaifan Jiang, Shuang Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8360-8369
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A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints
Zai Shi, Atilla Eryilmaz; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8370-8391
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Amortized Rejection Sampling in Universal Probabilistic Programming
Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Gunes Baydin, Bradley J. Gram-Hansen, Christian A. Schroeder De Witt, Robert Zinkov, Philip Torr, Tom Rainforth, Yee Whye Teh, Frank Wood; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8392-8412
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The Curse of Passive Data Collection in Batch Reinforcement Learning
Chenjun Xiao, Ilbin Lee, Bo Dai, Dale Schuurmans, Csaba Szepesvari; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8413-8438
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Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8439-8457
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Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory
Zhiyu Zhang, Ashok Cutkosky, Ioannis Paschalidis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8458-8492
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation
Benjamin Letham, Phillip Guan, Chase Tymms, Eytan Bakshy, Michael Shvartsman; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8493-8513
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Debiasing Samples from Online Learning Using Bootstrap
Ningyuan Chen, Xuefeng Gao, Yi Xiong; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8514-8533
Convergence of online k-means
Geelon So, Gaurav Mahajan, Sanjoy Dasgupta; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8534-8569
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Reconstructing Test Labels from Noisy Loss Functions
Abhinav Aggarwal, Shiva Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8570-8591
Contrasting the landscape of contrastive and non-contrastive learning
Ashwini Pokle, Jinjin Tian, Yuchen Li, Andrej Risteski; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8592-8618
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A general class of surrogate functions for stable and efficient reinforcement learning
Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Müller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8619-8649
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Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity
Joshua K. Behne, Galen Reeves; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8650-8672
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Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm
Yuheng Bu, Gholamali Aminian, Laura Toni, Gregory W. Wornell, Miguel Rodrigues; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8673-8699
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Decoupling Local and Global Representations of Time Series
Sana Tonekaboni, Chun-Liang Li, Sercan O. Arik, Anna Goldenberg, Tomas Pfister; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8700-8714
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Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8715-8737
Optimal estimation of Gaussian DAG models
Ming Gao, Wai Ming Tai, Bryon Aragam; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8738-8757
Improved Approximation Algorithms for Individually Fair Clustering
Ali Vakilian, Mustafa Yalciner; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8758-8779
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Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning
Yongchan Kwon, James Zou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8780-8802
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Variance Minimization in the Wasserstein Space for Invariant Causal Prediction
Guillaume G. Martinet, Alexander Strzalkowski, Barbara Engelhardt; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8803-8851
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Online Continual Adaptation with Active Self-Training
Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8852-8883
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Structured variational inference in Bayesian state-space models
Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8884-8905
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Structured Multi-task Learning for Molecular Property Prediction
Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8906-8920
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Nonparametric Relational Models with Superrectangulation
Masahiro Nakano, Ryo Nishikimi, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8921-8937
Regret, stability & fairness in matching markets with bandit learners
Sarah H. Cen, Devavrat Shah; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8938-8968
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Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods
Chirag Agarwal, Marinka Zitnik, Himabindu Lakkaraju; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8969-8996
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Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks
Yeshu Li, Zhan Shi, Xinhua Zhang, Brian Ziebart; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8997-9016
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ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics
Daniel Csillag, Carolina Piazza, Thiago Ramos, João Vitor Romano, Roberto I. Oliveira, Paulo Orenstein; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9017-9049
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective
Margalit R. Glasgow, Honglin Yuan, Tengyu Ma; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9050-9090
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Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning
Yizhou Chen, Shizhuo Zhang, Bryan Kian Hsiang Low; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9091-9113
Best Arm Identification with Safety Constraints
Zhenlin Wang, Andrew J. Wagenmaker, Kevin Jamieson; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9114-9146
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On the complexity of the optimal transport problem with graph-structured cost
Jiaojiao Fan, Isabel Haasler, Johan Karlsson, Yongxin Chen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9147-9165
Second-Order Sensitivity Analysis for Bilevel Optimization
Robert Dyro, Edward Schmerling, Nikos Arechiga, Marco Pavone; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9166-9181
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On Learning Mixture Models with Sparse Parameters
Soumyabrata Pal, Arya Mazumdar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9182-9213
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Sketch-and-lift: scalable subsampled semidefinite program for K-means clustering
Yubo Zhuang, Xiaohui Chen, Yun Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9214-9246
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Asynchronous Distributed Optimization with Stochastic Delays
Margalit R. Glasgow, Mary Wootters; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9247-9279
Calibration Error for Heterogeneous Treatment Effects
Yizhe Xu, Steve Yadlowsky; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9280-9303
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Fast Sparse Classification for Generalized Linear and Additive Models
Jiachang Liu, Chudi Zhong, Margo Seltzer, Cynthia Rudin; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9304-9333
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming
Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9334-9355
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Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise
Ashish Katiyar, Soumya Basu, Vatsal Shah, Constantine Caramanis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9356-9399
Learning Sparse Fixed-Structure Gaussian Bayesian Networks
Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9400-9429
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Learning and Generalization in Overparameterized Normalizing Flows
Kulin Shah, Amit Deshpande, Navin Goyal; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9430-9504
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Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s Theorem
Clayton H. Sanford, Vaggos Chatziafratis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9505-9549
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Learning Interpretable, Tree-Based Projection Mappings for Nonlinear Embeddings
Arman S. Zharmagambetov, Miguel A. Carreira-Perpinan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9550-9570
Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data
Matthew Engelhard, Ricardo Henao; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9571-9581
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Sample Complexity of Robust Reinforcement Learning with a Generative Model
Kishan Panaganti, Dileep Kalathil; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9582-9602
On Coresets for Fair Regression and Individually Fair Clustering
Rachit Chhaya, Anirban Dasgupta, Jayesh Choudhari, Supratim Shit; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9603-9625
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LocoProp: Enhancing BackProp via Local Loss Optimization
Ehsan Amid, Rohan Anil, Manfred Warmuth; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9626-9642
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Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise
Jianyu Xu, Yu-Xiang Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9643-9662
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds
Yan Shuo Tan, Abhineet Agarwal, Bin Yu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9663-9685
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Exact Community Recovery over Signed Graphs
Xiaolu Wang, Peng Wang, Anthony Man-Cho So; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9686-9710
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency
Eduardo Pavez; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9711-9722
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Primal-Dual Stochastic Mirror Descent for MDPs
Daniil Tiapkin, Alexander Gasnikov; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9723-9740
Convex Analysis of the Mean Field Langevin Dynamics
Atsushi Nitanda, Denny Wu, Taiji Suzuki; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9741-9757
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Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning
Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9758-9775
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Marginalising over Stationary Kernels with Bayesian Quadrature
Saad Hamid, Sebastian Schulze, Michael A. Osborne, Stephen Roberts; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9776-9792
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On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging
Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael Jordan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9793-9826
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An Unsupervised Hunt for Gravitational Lenses
Stephen Sheng, Keerthi Vasan G C, Chi Po P Choi, James Sharpnack, Tucker Jones; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9827-9843
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics
Tam Le, Truyen Nguyen, Dinh Phung, Viet Anh Nguyen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9844-9868
Mean Nyström Embeddings for Adaptive Compressive Learning
Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9869-9889
GraphAdaMix: Enhancing Node Representations with Graph Adaptive Mixtures
Da Sun Handason Tam, Siyue Xie, Wing Cheong Lau; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9890-9907
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Provable Adversarial Robustness for Fractional Lp Threat Models
Alexander J. Levine, Soheil Feizi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9908-9942
On Some Fast And Robust Classifiers For High Dimension, Low Sample Size Data
Sarbojit Roy, Jyotishka Ray Choudhury, Subhajit Dutta; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9943-9968
Learning Pareto-Efficient Decisions with Confidence
Sofia Ek, Dave Zachariah, Peter Stoica; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9969-9981
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Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs
Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti Salapaka; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9982-9997
Compressed Rule Ensemble Learning
Malte Nalenz, Thomas Augustin; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9998-10014
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Pick-and-Mix Information Operators for Probabilistic ODE Solvers
Nathanael Bosch, Filip Tronarp, Philipp Hennig; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10015-10027
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Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning
Khaled Eldowa, Lorenzo Bisi, Marcello Restelli; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10028-10066
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The Importance of Future Information in Credit Card Fraud Detection
Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10067-10077
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A Non-asymptotic Approach to Best-Arm Identification for Gaussian Bandits
Antoine Barrier, Aurélien Garivier, Tomáš Kocák; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10078-10109
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Differentially Private Federated Learning on Heterogeneous Data
Maxence Noble, Aurélien Bellet, Aymeric Dieuleveut; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10110-10145
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Efficient computation of the the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes
Augustin Chevallier, Frédéric Cazals, Paul Fearnhead; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10146-10160
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Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates
Nicholas J. Irons, Meyer Scetbon, Soumik Pal, Zaid Harchaoui; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10161-10195
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Solving Marginal MAP Exactly by Probabilistic Circuit Transformations
Yoojung Choi, Tal Friedman, Guy Van Den Broeck; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10196-10208
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REPID: Regional Effect Plots with implicit Interaction Detection
Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10209-10233
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Minimal Expected Regret in Linear Quadratic Control
Yassir Jedra, Alexandre Proutiere; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10234-10321
Data-splitting improves statistical performance in overparameterized regimes
Nicole Muecke, Enrico Reiss, Jonas Rungenhagen, Markus Klein; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10322-10350
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Towards Understanding Biased Client Selection in Federated Learning
Yae Jee Cho, Jianyu Wang, Gauri Joshi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10351-10375
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications
Morgane Goibert, Stephan Clemencon, Ekhine Irurozki, Pavlo Mozharovskyi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10376-10406
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Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference
Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10407-10421
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Sobolev Norm Learning Rates for Conditional Mean Embeddings
Prem Talwai, Ali Shameli, David Simchi-Levi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10422-10447
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Provable Continual Learning via Sketched Jacobian Approximations
Reinhard Heckel; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10448-10470
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Neural Enhanced Dynamic Message Passing
Fei Gao, Jiang Zhang, Yan Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10471-10482
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Duel-based Deep Learning system for solving IQ tests
Paulina Tomaszewska, Adam Żychowski, Jacek Mańdziuk; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10483-10492
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On a Connection Between Fast and Sparse Oblivious Subspace Embeddings
Rui Wang, Wangli Xu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10493-10517
Modeling Conditional Dependencies in Multiagent Trajectories
Yannick Rudolph, Ulf Brefeld; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10518-10533
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Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies
Lenon Minorics, Caner Turkmen, David Kernert, Patrick Bloebaum, Laurent Callot, Dominik Janzing; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10534-10554
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Increasing the accuracy and resolution of precipitation forecasts using deep generative models
Ilan Price, Stephan Rasp; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10555-10571
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Tight bounds for minimum $\ell_1$-norm interpolation of noisy data
Guillaume Wang, Konstantin Donhauser, Fanny Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10572-10602
Multivariate Quantile Function Forecaster
Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10603-10621
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Coresets for Data Discretization and Sine Wave Fitting
Alaa Maalouf, Murad Tukan, Eric Price, Daniel M. Kane, Dan Feldman; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10622-10639
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Non-separable Spatio-temporal Graph Kernels via SPDEs
Alexander V. Nikitin, St John, Arno Solin, Samuel Kaski; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10640-10660
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Towards an Understanding of Default Policies in Multitask Policy Optimization
Ted Moskovitz, Michael Arbel, Jack Parker-Holder, Aldo Pacchiano; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10661-10686
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
Oskar Kviman, Harald Melin, Hazal Koptagel, Victor Elvira, Jens Lagergren; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10687-10702
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Can Functional Transfer Methods Capture Simple Inductive Biases?
Arne Nix, Suhas Shrinivasan, Edgar Y. Walker, Fabian Sinz; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10703-10717
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On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization
Nicolas Emmenegger, Rasmus Kyng, Ahad N. Zehmakan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10718-10752
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Model-agnostic out-of-distribution detection using combined statistical tests
Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sénétaire, Hugo Schmutz, Lars Maaløe, Soren Hauberg, Jes Frellsen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10753-10776
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Generalized Group Testing
Xiwei Cheng, Sidharth Jaggi, Qiaoqiao Zhou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10777-10835
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Adaptive A/B Test on Networks with Cluster Structures
Yang Liu, Yifan Zhou, Ping Li, Feifang Hu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10836-10851
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Spectral Robustness for Correlation Clustering Reconstruction in Semi-Adversarial Models
Flavio Chierichetti, Alessandro Panconesi, Giuseppe Re, Luca Trevisan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10852-10880
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Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge
Arshdeep Sekhon, Zhe Wang, Yanjun Qi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10881-10923
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Two-way Sparse Network Inference for Count Data
Sijia Li, Martı́n López-Garcı́a, Neil D. Lawrence, Luisa Cutillo; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10924-10938
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Rapid Convergence of Informed Importance Tempering
Quan Zhou, Aaron Smith; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10939-10965
On the Implicit Bias of Gradient Descent for Temporal Extrapolation
Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10966-10981
Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion
Sanmitra Ghosh, Paul J. Birrell, Daniela De Angelis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10982-10998
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Quadric Hypersurface Intersection for Manifold Learning in Feature Space
Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vyalov, Anatolii Zaikovskii, Aleksandr Petiushko; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10999-11013
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Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons
Yue Wu, Tao Jin, Hao Lou, Pan Xu, Farzad Farnoud, Quanquan Gu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11014-11036
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Outcome Assumptions and Duality Theory for Balancing Weights
David A. Bruns-Smith, Avi Feller; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11037-11055
Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach
Setareh Ariafar, Justin Gilmer, Zachary Nado, Jasper Snoek, Rodolphe Jenatton, George Dahl; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11056-11071
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Learning from Multiple Noisy Partial Labelers
Peilin Yu, Tiffany Ding, Stephen H. Bach; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11072-11095
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Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum Games
Michail Fasoulakis, Evangelos Markakis, Yannis Pantazis, Constantinos Varsos; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11096-11117
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Hypergraph Simultaneous Generators
Bahman Pedrood, Carlotta Domeniconi, Kathryn Laskey; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11118-11130
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Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation
Joel Dyer, Patrick W. Cannon, Sebastian M. Schmon; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11131-11144
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Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11145-11168
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Stateful Offline Contextual Policy Evaluation and Learning
Nathan Kallus, Angela Zhou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11169-11194
Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation
Zaiwei Chen, Siva Theja Maguluri; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11195-11214
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Solving Multi-Arm Bandit Using a Few Bits of Communication
Osama A. Hanna, Lin Yang, Christina Fragouli; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11215-11236
Causal Effect Identification with Context-specific Independence Relations of Control Variables
Ehsan Mokhtarian, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11237-11246
Entropy Regularized Optimal Transport Independence Criterion
Lang Liu, Soumik Pal, Zaid Harchaoui; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11247-11279
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Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions
Zihao Deng, Siddartha Devic, Brendan Juba; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11280-11304
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PAC Learning of Quantum Measurement Classes : Sample Complexity Bounds and Universal Consistency
Arun Padakandla, Abram Magner; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11305-11319
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Can we Generalize and Distribute Private Representation Learning?
Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher Brinton; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11320-11340
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Feature Collapsing for Gaussian Process Variable Ranking
Isaac Sebenius, Topi Paananen, Aki Vehtari; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11341-11355
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Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size
Wanrong Zhang, Yajun Mei, Rachel Cummings; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11356-11373
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtarik; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11374-11421
Data Appraisal Without Data Sharing
Xinlei Xu, Awni Hannun, Laurens Van Der Maaten; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11422-11437
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On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds
Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Tran, Dinh Phung; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11438-11460
Transductive Robust Learning Guarantees
Omar Montasser, Steve Hanneke, Nathan Srebro; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11461-11471
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Online Competitive Influence Maximization
Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11472-11502
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff
Anna Korba, François Portier; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11503-11527
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The role of optimization geometry in single neuron learning
Nicholas Boffi, Stephen Tu, Jean-Jacques Slotine; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11528-11549
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Learning Tensor Representations for Meta-Learning
Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11550-11580
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Differentially Private Densest Subgraph
Alireza Farhadi, MohammadTaghi Hajiaghayi, Elaine Shi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11581-11597
A Manifold View of Adversarial Risk
Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11598-11614
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Statistical and computational thresholds for the planted k-densest sub-hypergraph problem
Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim Buhmann; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11615-11640
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Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks
Amy E. Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11641-11654
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Equivariant Deep Dynamical Model for Motion Prediction
Bahar Azari, Deniz Erdogmus; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11655-11668
The Fast Kernel Transform
John P. Ryan, Sebastian E. Ament, Carla P. Gomes, Anil Damle; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11669-11690
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Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis
Sloan Nietert, Ziv Goldfeld, Rachel Cummings; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11691-11719
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Diversity and Generalization in Neural Network Ensembles
Luis A. Ortega, Rafael Cabañas, Andres Masegosa; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11720-11743
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