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Editors: Kamalika Chaudhuri, Masashi Sugiyama
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Proximal Splitting Meets Variance Reduction
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1-10
Optimal Noise-Adding Mechanism in Additive Differential Privacy
Quan Geng, Wei Ding, Ruiqi Guo, Sanjiv Kumar; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:11-20
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Tossing Coins Under Monotonicity
Matey Neykov; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:21-30
Gaussian Regression with Convex Constraints
Matey Neykov; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:31-38
Risk-Averse Stochastic Convex Bandit
Adrian Rivera Cardoso, Huan Xu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:39-47
Error bounds for sparse classifiers in high-dimensions
Antoine Dedieu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:48-56
Boosting Transfer Learning with Survival Data from Heterogeneous Domains
Alexis Bellot, Mihaela van der Schaar; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:57-65
Resampled Priors for Variational Autoencoders
Matthias Bauer, Andriy Mnih; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:66-75
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
Marcel Hirt, Petros Dellaportas; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:76-86
Scalable Thompson Sampling via Optimal Transport
Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:87-96
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Inferring Multidimensional Rates of Aging from Cross-Sectional Data
Emma Pierson, Pang Wei Koh, Tatsunori Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:97-107
Interaction Detection with Bayesian Decision Tree Ensembles
Junliang Du, Antonio R. Linero; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:108-117
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On the Interaction Effects Between Prediction and Clustering
Matt Barnes, Artur Dubrawski; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:118-126
Towards a Theoretical Understanding of Hashing-Based Neural Nets
Yibo Lin, Zhao Song, Lin F. Yang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:127-137
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Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds
Pan Zhou, Xiao-Tong Yuan, Jiashi Feng; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:138-147
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models
Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn, Tom Rainforth, Hongseok Yang, Frank Wood; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:148-157
Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models
Gunwoong Park, Hyewon Park; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:158-166
Unbiased Implicit Variational Inference
Michalis K. Titsias, Francisco Ruiz; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:167-176
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Efficient Linear Bandits through Matrix Sketching
Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:177-185
Orthogonal Estimation of Wasserstein Distances
Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tamas Sarlos, Adrian Weller; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:186-195
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity
Simon S. Du, Wei Hu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:196-205
Greedy and IHT Algorithms for Non-convex Optimization with Monotone Costs of Non-zeros
Shinsaku Sakaue; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:206-215
Block Stability for MAP Inference
Hunter Lang, David Sontag, Aravindan Vijayaraghavan; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:216-225
A Stein–Papangelou Goodness-of-Fit Test for Point Processes
Jiasen Yang, Vinayak Rao, Jennifer Neville; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:226-235
KAMA-NNs: Low-dimensional Rotation Based Neural Networks
Krzysztof Choromanski, Aldo Pacchiano, Jeffrey Pennington, Yunhao Tang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:236-245
Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain
Quentin Berthet, Varun Kanade; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:246-255
Sketching for Latent Dirichlet-Categorical Models
Joseph Tassarotti, Jean-Baptiste Tristan, Michael Wick; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:256-265
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models
Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:266-275
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Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs
Rishabh Iyer, Jeffrey Bilmes; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:276-285
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Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems
Dan Garber, Atara Kaplan; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:286-294
Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity
Dan Garber; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:295-303
Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches
Filip Hanzely, Peter Richtarik; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:304-312
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems
Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, Purushottam Kar; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:313-322
Modularity-based Sparse Soft Graph Clustering
Alexandre Hollocou, Thomas Bonald, Marc Lelarge; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:323-332
Pathwise Derivatives for Multivariate Distributions
Martin Jankowiak, Theofanis Karaletsos; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:333-342
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning
Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:343-352
Vine copula structure learning via Monte Carlo tree search
Bo Chang, Shenyi Pan, Harry Joe; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:353-361
Blind Demixing via Wirtinger Flow with Random Initialization
Jialin Dong, Yuanming Shi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:362-370
Performance Metric Elicitation from Pairwise Classifier Comparisons
Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:371-379
Analysis of Network Lasso for Semi-Supervised Regression
Alexander Jung, Natalia Vesselinova; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:380-387
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Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm
Nikos Kargas, Nicholas D. Sidiropoulos; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:388-396
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Robust Matrix Completion from Quantized Observations
Jie Shen, Pranjal Awasthi, Ping Li; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:397-407
Foundations of Sequence-to-Sequence Modeling for Time Series
Zelda Mariet, Vitaly Kuznetsov; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:408-417
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit
Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:418-427
An Optimal Algorithm for Stochastic Three-Composite Optimization
Renbo Zhao, William B. Haskell, Vincent Y. F. Tan; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:428-437
A Thompson Sampling Algorithm for Cascading Bandits
Wang Chi Cheung, Vincent Tan, Zixin Zhong; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:438-447
Lifelong Optimization with Low Regret
Yi-Shan Wu, Po-An Wang, Chi-Jen Lu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:448-456
Sparse Multivariate Bernoulli Processes in High Dimensions
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash Amini, Sundeep Rangan, Alyson K. Fletcher; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:457-466
An Optimal Algorithm for Stochastic and Adversarial Bandits
Julian Zimmert, Yevgeny Seldin; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:467-475
Efficient Bayesian Experimental Design for Implicit Models
Steven Kleinegesse, Michael U. Gutmann; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:476-485
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Local Saddle Point Optimization: A Curvature Exploitation Approach
Leonard Adolphs, Hadi Daneshmand, Aurelien Lucchi, Thomas Hofmann; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:486-495
Testing Conditional Independence on Discrete Data using Stochastic Complexity
Alexander Marx, Jilles Vreeken; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:496-505
Distributionally Robust Submodular Maximization
Matthew Staib, Bryan Wilder, Stefanie Jegelka; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:506-516
A Robust Zero-Sum Game Framework for Pool-based Active Learning
Dixian Zhu, Zhe Li, Xiaoyu Wang, Boqing Gong, Tianbao Yang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:517-526
Support and Invertibility in Domain-Invariant Representations
Fredrik D. Johansson, David Sontag, Rajesh Ranganath; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:527-536
Efficient Inference in Multi-task Cox Process Models
Virginia Aglietti, Theodoros Damoulas, Edwin V. Bonilla; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:537-546
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems
Emanuel Laude, Tao Wu, Daniel Cremers; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:547-556
On Connecting Stochastic Gradient MCMC and Differential Privacy
Bai Li, Changyou Chen, Hao Liu, Lawrence Carin; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:557-566
What made you do this? Understanding black-box decisions with sufficient input subsets
Brandon Carter, Jonas Mueller, Siddhartha Jain, David Gifford; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:567-576
Computation Efficient Coded Linear Transform
Sinong Wang, Jiashang Liu, Ness Shroff, Pengyu Yang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:577-585
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators
Oren Mangoubi, Aaron Smith; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:586-595
Temporal Quilting for Survival Analysis
Changhee Lee, William Zame, Ahmed Alaa, Mihaela Schaar; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:596-605
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms
Mathieu Blondel, Andre Martins, Vlad Niculae; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:606-615
On Target Shift in Adversarial Domain Adaptation
Yitong Li, Michael Murias, Samantha Major, Geraldine Dawson, David Carlson; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:616-625
Optimal Testing in the Experiment-rich Regime
Sven Schmit, Virag Shah, Ramesh Johari; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:626-633
Reversible Jump Probabilistic Programming
David A. Roberts, Marcus Gallagher, Thomas Taimre; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:634-643
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Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability
Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:644-653
High-dimensional Mixed Graphical Model with Ordinal Data: Parameter Estimation and Statistical Inference
Huijie Feng, Yang Ning; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:654-663
Robust Graph Embedding with Noisy Link Weights
Akifumi Okuno, Hidetoshi Shimodaira; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:664-673
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks
Yue Yu, Jiaxiang Wu, Junzhou Huang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:674-683
Defending against Whitebox Adversarial Attacks via Randomized Discretization
Yuchen Zhang, Percy Liang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:684-693
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Fisher Information and Natural Gradient Learning in Random Deep Networks
Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:694-702
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Robust descent using smoothed multiplicative noise
Matthew J. Holland; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:703-711
Classification using margin pursuit
Matthew J. Holland; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:712-720
Linear Queries Estimation with Local Differential Privacy
Raef Bassily; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:721-729
Bayesian Learning of Neural Network Architectures
Georgi Dikov, Justin Bayer; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:730-738
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Nonlinear Acceleration of Primal-Dual Algorithms
Raghu Bollapragada, Damien Scieur, Alexandre d’Aspremont; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:739-747
Gaussian Process Latent Variable Alignment Learning
Ieva Kazlauskaite, Carl Henrik Ek, Neill Campbell; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:748-757
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure
Juho Lee, Lancelot James, Seungjin Choi, Francois Caron; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:758-767
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior
Gaël Letarte, Emilie Morvant, Pascal Germain; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:768-776
Forward Amortized Inference for Likelihood-Free Variational Marginalization
Luca Ambrogioni, Umut Güçlü, Julia Berezutskaya, Eva Borne, Yaǧmur Güçlütürk, Max Hinne, Eric Maris, Marcel Gerven; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:777-786
SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity
Luca Ambrogioni, Patrick Ebel, Max Hinne, Umut Güçlü, Marcel Gerven, Eric Maris; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:787-795
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees
Jonathan H. Huggins, Trevor Campbell, Mikolaj Kasprzak, Tamara Broderick; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:796-805
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization
Jonas Kohler, Hadi Daneshmand, Aurelien Lucchi, Thomas Hofmann, Ming Zhou, Klaus Neymeyr; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:806-815
A new evaluation framework for topic modeling algorithms based on synthetic corpora
Hanyu Shi, Martin Gerlach, Isabel Diersen, Doug Downey, Luis Amaral; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:816-826
On Kernel Derivative Approximation with Random Fourier Features
Zoltan Szabo, Bharath Sriperumbudur; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:827-836
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios, David Sterratt, Iain Murray; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:837-848
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Optimal Transport for Multi-source Domain Adaptation under Target Shift
Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:849-858
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
Aapo Hyvarinen, Hiroaki Sasaki, Richard Turner; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:859-868
Deep Neural Networks Learn Non-Smooth Functions Effectively
Masaaki Imaizumi, Kenji Fukumizu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:869-878
Attenuating Bias in Word vectors
Sunipa Dev, Jeff Phillips; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:879-887
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Fisher-Rao Metric, Geometry, and Complexity of Neural Networks
Tengyuan Liang, Tomaso Poggio, Alexander Rakhlin, James Stokes; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:888-896
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives
Hadrien Hendrikx, Francis Bach, Laurent Massoulie; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:897-906
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks
Tengyuan Liang, James Stokes; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:907-915
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition
Zhehui Chen, Xingguo Li, Lin Yang, Jarvis Haupt, Tuo Zhao; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:916-925
Generalized Boltzmann Machine with Deep Neural Structure
Yingru Liu, Dongliang Xie, Xin Wang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:926-934
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Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models
Jiong Zhang, Parameswaran Raman, Shihao Ji, Hsiang-Fu Yu, S.V.N. Vishwanathan, Inderjit Dhillon; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:935-943
Correcting the bias in least squares regression with volume-rescaled sampling
Michal Derezinski, Manfred K. Warmuth, Daniel Hsu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:944-953
Conservative Exploration using Interleaving
Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:954-963
Conditionally Independent Multiresolution Gaussian Processes
Jalil Taghia, Thomas Schön; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:964-973
Active Exploration in Markov Decision Processes
Jean Tarbouriech, Alessandro Lazaric; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:974-982
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes
Xiaoyu Li, Francesco Orabona; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:983-992
Bandit Online Learning with Unknown Delays
Bingcong Li, Tianyi Chen, Georgios B. Giannakis; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:993-1002
Learning Invariant Representations with Kernel Warping
Yingyi Ma, Vignesh Ganapathiraman, Xinhua Zhang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1003-1012
$β^3$-IRT: A New Item Response Model and its Applications
Yu Chen, Telmo Silva Filho, Ricardo B. Prudencio, Tom Diethe, Peter Flach; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1013-1021
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning
Peter Schulam, Suchi Saria; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1022-1031
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Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Ryo Karakida, Shotaro Akaho, Shun-ichi Amari; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1032-1041
Conditional Sparse $L_p$-norm Regression With Optimal Probability
John Hainline, Brendan Juba, Hai S. Le, David Woodruff; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1042-1050
On the Connection Between Learning Two-Layer Neural Networks and Tensor Decomposition
Marco Mondelli, Andrea Montanari; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1051-1060
Autoencoding any Data through Kernel Autoencoders
Pierre Laforgue, Stéphan Clémençon, Florence d’Alche-Buc; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1061-1069
Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent
Yifan Wu, Barnabas Poczos, Aarti Singh; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1070-1078
Learning to Optimize under Non-Stationarity
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1079-1087
SPONGE: A generalized eigenproblem for clustering signed networks
Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1088-1098
Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex
Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1099-1109
Are we there yet? Manifold identification of gradient-related proximal methods
Yifan Sun, Halyun Jeong, Julie Nutini, Mark Schmidt; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1110-1119
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
Jayadev Acharya, Ziteng Sun, Huanyu Zhang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1120-1129
XBART: Accelerated Bayesian Additive Regression Trees
Jingyu He, Saar Yalov, P. Richard Hahn; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1130-1138
A Swiss Army Infinitesimal Jackknife
Ryan Giordano, William Stephenson, Runjing Liu, Michael Jordan, Tamara Broderick; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1139-1147
Online Multiclass Boosting with Bandit Feedback
Daniel T. Zhang, Young Hun Jung, Ambuj Tewari; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1148-1156
Auto-Encoding Total Correlation Explanation
Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1157-1166
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Towards Efficient Data Valuation Based on the Shapley Value
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1167-1176
Bayesian optimisation under uncertain inputs
Rafael Oliveira, Lionel Ott, Fabio Ramos; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1177-1184
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator
Seyoon Ko, Joong-Ho Won; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1185-1194
Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron
Sharan Vaswani, Francis Bach, Mark Schmidt; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1195-1204
No-regret algorithms for online $k$-submodular maximization
Tasuku Soma; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1205-1214
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy
Qian Yu, Songze Li, Netanel Raviv, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Salman A. Avestimehr; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1215-1225
Subsampled Renyi Differential Privacy and Analytical Moments Accountant
Yu-Xiang Wang, Borja Balle, Shiva Prasad Kasiviswanathan; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1226-1235
Model Consistency for Learning with Mirror-Stratifiable Regularizers
Jalal Fadili, Guillaume Garrigos, Jérôme Malick, Gabriel Peyré; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1236-1244
From Cost-Sensitive Classification to Tight F-measure Bounds
Kevin Bascol, Rémi Emonet, Elisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1245-1253
Feature subset selection for the multinomial logit model via mixed-integer optimization
Shunsuke Kamiya, Ryuhei Miyashiro, Yuichi Takano; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1254-1263
Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation
Jian Zhang, Avner May, Tri Dao, Christopher Re; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1264-1274
Restarting Frank-Wolfe
Thomas Kerdreux, Alexandre d’Aspremont, Sebastian Pokutta; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1275-1283
Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level
Hiroshi Inoue; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1284-1293
Infinite Task Learning in RKHSs
Romain Brault, Alex Lambert, Zoltan Szabo, Maxime Sangnier, Florence d’Alche-Buc; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1294-1302
Detection of Planted Solutions for Flat Satisfiability Problems
Quentin Berthet, Jordan Ellenberg; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1303-1312
Markov Properties of Discrete Determinantal Point Processes
Kayvan Sadeghi, Alessandro Rinaldo; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1313-1321
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Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms
Alihan Huyuk, Cem Tekin; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1322-1330
Distilling Policy Distillation
Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant Jayakumar, Grzegorz Swirszcz, Max Jaderberg; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1331-1340
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization
Clarice Poon, Nicolas Keriven, Gabriel Peyré; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1341-1350
Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs
Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1351-1360
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features
Julius Kügelgen, Alexander Mey, Marco Loog; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1361-1369
A Continuous-Time View of Early Stopping for Least Squares Regression
Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1370-1378
Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time
Dan Kushnir, Shirin Jalali, Iraj Saniee; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1379-1387
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling
Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1388-1397
Learning Rules-First Classifiers
Deborah Cohen, Amit Daniely, Amir Globerson, Gal Elidan; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1398-1406
Wasserstein regularization for sparse multi-task regression
Hicham Janati, Marco Cuturi, Alexandre Gramfort; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1407-1416
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors
Atsushi Nitanda, Taiji Suzuki; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1417-1426
Black Box Quantiles for Kernel Learning
Anthony Tompkins, Ransalu Senanayake, Philippe Morere, Fabio Ramos; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1427-1437
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Adversarial Variational Optimization of Non-Differentiable Simulators
Gilles Louppe, Joeri Hermans, Kyle Cranmer; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1438-1447
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization
Filip Roos, Philipp Hennig; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1448-1457
Projection Free Online Learning over Smooth Sets
Kfir Levy, Andreas Krause; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1458-1466
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes
Tongfei Chen, Jiri Navratil, Vijay Iyengar, Karthikeyan Shanmugam; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1467-1475
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Learning Influence-Receptivity Network Structure with Guarantee
Ming Yu, Varun Gupta, Mladen Kolar; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1476-1485
Iterative Bayesian Learning for Crowdsourced Regression
Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1486-1495
Nonconvex Matrix Factorization from Rank-One Measurements
Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1496-1505
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Fast and Robust Shortest Paths on Manifolds Learned from Data
Georgios Arvanitidis, Soren Hauberg, Philipp Hennig, Michael Schober; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1506-1515
Training a Spiking Neural Network with Equilibrium Propagation
Peter O’Connor, Efstratios Gavves, Max Welling; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1516-1523
Learning One-hidden-layer ReLU Networks via Gradient Descent
Xiao Zhang, Yaodong Yu, Lingxiao Wang, Quanquan Gu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1524-1534
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Gain estimation of linear dynamical systems using Thompson Sampling
Matias I. Müller, Cristian R. Rojas; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1535-1543
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit
Shengyu Zhu, Biao Chen, Pengfei Yang, Zhitang Chen; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1544-1553
Calibrating Deep Convolutional Gaussian Processes
Gia-Lac Tran, Edwin V. Bonilla, John Cunningham, Pietro Michiardi, Maurizio Filippone; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1554-1563
Stochastic algorithms with descent guarantees for ICA
Pierre Ablin, Alexandre Gramfort, Jean-François Cardoso, Francis Bach; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1564-1573
Sample Complexity of Sinkhorn Divergences
Aude Genevay, Lénaïc Chizat, Francis Bach, Marco Cuturi, Gabriel Peyré; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1574-1583
Adaptive Gaussian Copula ABC
Yanzhi Chen, Michael U. Gutmann; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1584-1592
Top Feasible Arm Identification
Julian Katz-Samuels, Clayton Scott; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1593-1601
Direct Acceleration of SAGA using Sampled Negative Momentum
Kaiwen Zhou, Qinghua Ding, Fanhua Shang, James Cheng, Danli Li, Zhi-Quan Luo; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1602-1610
Does data interpolation contradict statistical optimality?
Mikhail Belkin, Alexander Rakhlin, Alexandre B. Tsybakov; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1611-1619
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Inverting Supervised Representations with Autoregressive Neural Density Models
Charlie Nash, Nate Kushman, Christopher K.I. Williams; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1620-1629
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning
Guillaume Rabusseau, Tianyu Li, Doina Precup; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1630-1639
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions
Feras A. Saad, Cameron E. Freer, Nathanael L. Ackerman, Vikash K. Mansinghka; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1640-1649
Differentially Private Online Submodular Minimization
Adrian Rivera Cardoso, Rachel Cummings; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1650-1658
Semi-supervised clustering for de-duplication
Shrinu Kushagra, Shai Ben-David, Ihab Ilyas; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1659-1667
Finding the bandit in a graph: Sequential search-and-stop
Pierre Perrault, Vianney Perchet, Michal Valko; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1668-1677
Statistical Learning under Nonstationary Mixing Processes
Steve Hanneke, Liu Yang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1678-1686
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On Structure Priors for Learning Bayesian Networks
Ralf Eggeling, Jussi Viinikka, Aleksis Vuoksenmaa, Mikko Koivisto; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1687-1695
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Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs
Alexander Bauer, Shinichi Nakajima, Nico Goernitz, Klaus-Robert Müller; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1696-1703
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring
Alexander F. Lapanowski, Irina Gaynanova; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1704-1713
Learning Natural Programs from a Few Examples in Real-Time
Nagarajan Natarajan, Danny Simmons, Naren Datha, Prateek Jain, Sumit Gulwani; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1714-1722
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Truncated Back-propagation for Bilevel Optimization
Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1723-1732
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data
Victor Veitch, Morgane Austern, Wenda Zhou, David M. Blei, Peter Orbanz; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1733-1742
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution
Topi Paananen, Juho Piironen, Michael Riis Andersen, Aki Vehtari; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1743-1752
Lifted Weight Learning of Markov Logic Networks Revisited
Ondrej Kuzelka, Vyacheslav Kungurtsev; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1753-1761
Causal Discovery in the Presence of Missing Data
Ruibo Tu, Cheng Zhang, Paul Ackermann, Karthika Mohan, Hedvig Kjellström, Kun Zhang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1762-1770
Learning Tree Structures from Noisy Data
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1771-1782
Active multiple matrix completion with adaptive confidence sets
Andrea Locatelli, Alexandra Carpentier, Michal Valko; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1783-1791
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha Talukdar; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1792-1801
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Negative Momentum for Improved Game Dynamics
Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Rémi Le Priol, Gabriel Huang, Simon Lacoste-Julien, Ioannis Mitliagkas; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1802-1811
Deep learning with differential Gaussian process flows
Pashupati Hegde, Markus Heinonen, Harri Lähdesmäki, Samuel Kaski; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1812-1821
Data-dependent compression of random features for large-scale kernel approximation
Raj Agrawal, Trevor Campbell, Jonathan Huggins, Tamara Broderick; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1822-1831
Large-Margin Classification in Hyperbolic Space
Hyunghoon Cho, Benjamin DeMeo, Jian Peng, Bonnie Berger; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1832-1840
Generalizing the theory of cooperative inference
Pei Wang, Pushpi Paranamana, Patrick Shafto; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1841-1850
MaxHedge: Maximizing a Maximum Online
Stephen Pasteris, Fabio Vitale, Kevin Chan, Shiqiang Wang, Mark Herbster; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1851-1859
The Gaussian Process Autoregressive Regression Model (GPAR)
James Requeima, William Tebbutt, Wessel Bruinsma, Richard E. Turner; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1860-1869
Towards Optimal Transport with Global Invariances
David Alvarez-Melis, Stefanie Jegelka, Tommi S. Jaakkola; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1870-1879
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
Edouard Grave, Armand Joulin, Quentin Berthet; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1880-1890
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Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials
Onur Atan, William R. Zame, Mihaela Schaar; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1891-1900
Probabilistic Forecasting with Spline Quantile Function RNNs
Jan Gasthaus, Konstantinos Benidis, Yuyang Wang, Syama Sundar Rangapuram, David Salinas, Valentin Flunkert, Tim Januschowski; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1901-1910
Exponential Weights on the Hypercube in Polynomial Time
Sudeep Raja Putta, Abhishek Shetty; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1911-1919
Sharp Analysis of Learning with Discrete Losses
Alex Nowak, Francis Bach, Alessandro Rudi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1920-1929
Designing Optimal Binary Rating Systems
Nikhil Garg, Ramesh Johari; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1930-1939
Stochastic Negative Mining for Learning with Large Output Spaces
Sashank J. Reddi, Satyen Kale, Felix Yu, Daniel Holtmann-Rice, Jiecao Chen, Sanjiv Kumar; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1940-1949
Learning One-hidden-layer Neural Networks under General Input Distributions
Weihao Gao, Ashok V. Makkuva, Sewoong Oh, Pramod Viswanath; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1950-1959
A Geometric Perspective on the Transferability of Adversarial Directions
Zachary Charles, Harrison Rosenberg, Dimitris Papailiopoulos; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1960-1968
Non-linear process convolutions for multi-output Gaussian processes
Mauricio A. Alvarez, Wil Ward, Cristian Guarnizo; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1969-1977
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Lovasz Convolutional Networks
Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Shikhar Vashishth, Arun Rajkumar, Partha Talukdar; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1978-1987
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Bridging the gap between regret minimization and best arm identification, with application to A/B tests
Rémy Degenne, Thomas Nedelec, Clement Calauzenes, Vianney Perchet; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1988-1996
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
Andrés F. Lopez-Lopera, ST John, Nicolas Durrande; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1997-2006
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Implicit Kernel Learning
Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabas Poczos; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2007-2016
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature
Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2017-2027
Variational Information Planning for Sequential Decision Making
Jason Pacheco, John Fisher; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2028-2036
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Renyi Differentially Private ERM for Smooth Objectives
Chen Chen, Jaewoo Lee, Dan Kifer; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2037-2046
Projection-Free Bandit Convex Optimization
Lin Chen, Mingrui Zhang, Amin Karbasi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2047-2056
Provable Robustness of ReLU networks via Maximization of Linear Regions
Francesco Croce, Maksym Andriushchenko, Matthias Hein; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2057-2066
Test without Trust: Optimal Locally Private Distribution Testing
Jayadev Acharya, Clement Canonne, Cody Freitag, Himanshu Tyagi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2067-2076
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Distributed Maximization of "Submodular plus Diversity" Functions for Multi-label Feature Selection on Huge Datasets
Mehrdad Ghadiri, Mark Schmidt; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2077-2086
On Euclidean k-Means Clustering with alpha-Center Proximity
Amit Deshpande, Anand Louis, Apoorv Singh; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2087-2095
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach
Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2096-2105
Safe Convex Learning under Uncertain Constraints
Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2106-2114
The non-parametric bootstrap and spectral analysis in moderate and high-dimension
Noureddine El Karoui, Elizabeth Purdom; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2115-2124
Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees
Jaime Roquero Gimenez, Amirata Ghorbani, James Zou; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2125-2133
Training Variational Autoencoders with Buffered Stochastic Variational Inference
Rui Shu, Hung Bui, Jay Whang, Stefano Ermon; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2134-2143
Regularized Contextual Bandits
Xavier Fontaine, Quentin Berthet, Vianney Perchet; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2144-2153
Risk-Sensitive Generative Adversarial Imitation Learning
Jonathan Lacotte, Mohammad Ghavamzadeh, Yinlam Chow, Marco Pavone; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2154-2163
Learning Controllable Fair Representations
Jiaming Song, Pratyusha Kalluri, Aditya Grover, Shengjia Zhao, Stefano Ermon; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2164-2173
Multi-Task Time Series Analysis applied to Drug Response Modelling
Alex Bird, Chris Williams, Christopher Hawthorne; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2174-2183
Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization
Jaime Roquero Gimenez, James Zou; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2184-2192
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
Arno Solin, Manon Kok; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2193-2202
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Distributional reinforcement learning with linear function approximation
Marc G. Bellemare, Nicolas Le Roux, Pablo Samuel Castro, Subhodeep Moitra; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2203-2211
Matroids, Matchings, and Fairness
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Sergei Vassilvtiskii; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2212-2220
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function
Wojciech Tarnowski, Piotr Warchoł, Stanisław Jastrzȩbski, Jacek Tabor, Maciej Nowak; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2221-2230
The Termination Critic
Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Remi Munos, Doina Precup; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2231-2240
Consistent Online Optimization: Convex and Submodular
Mohammad Reza Karimi Jaghargh, Andreas Krause, Silvio Lattanzi, Sergei Vassilvtiskii; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2241-2250
Learning Determinantal Point Processes by Corrective Negative Sampling
Zelda Mariet, Mike Gartrell, Suvrit Sra; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2251-2260
Probabilistic Semantic Inpainting with Pixel Constrained CNNs
Emilien Dupont, Suhas Suresha; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2261-2270
Least Squares Estimation of Weakly Convex Functions
Sun Sun, Yaoliang Yu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2271-2280
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding
Nathan Kallus, Xiaojie Mao, Angela Zhou; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2281-2290
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes
Linfeng Liu, Liping Liu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2291-2300
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Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series
Rui Xie, Zengyan Wang, Shuyang Bai, Ping Ma, Wenxuan Zhong; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2301-2311
Interpretable Cascade Classifiers with Abstention
Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2312-2320
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Kernel Exponential Family Estimation via Doubly Dual Embedding
Bo Dai, Hanjun Dai, Arthur Gretton, Le Song, Dale Schuurmans, Niao He; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2321-2330
Revisiting Adversarial Risk
Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2331-2339
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems
Rishabh Iyer, Jeffrey Bilmes; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2340-2349
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Bernoulli Race Particle Filters
Sebastian M. Schmon, Arnaud Doucet, George Deligiannidis; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2350-2358
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models
Kaspar Märtens, Michalis Titsias, Christopher Yau; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2359-2367
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
Anton Mallasto, Søren Hauberg, Aasa Feragen; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2368-2377
Unbiased Smoothing using Particle Independent Metropolis-Hastings
Lawrece Middleton, George Deligiannidis, Arnaud Doucet, Pierre E. Jacob; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2378-2387
Two-temperature logistic regression based on the Tsallis divergence
Ehsan Amid, Manfred K. Warmuth, Sriram Srinivasan; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2388-2396
Avoiding Latent Variable Collapse with Generative Skip Models
Adji B. Dieng, Yoon Kim, Alexander M. Rush, David M. Blei; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2397-2405
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SMOGS: Social Network Metrics of Game Success
Fan Bu, Sonia Xu, Katherine Heller, Alexander Volfovsky; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2406-2414
Fast Algorithms for Sparse Reduced-Rank Regression
Benjamin Dubois, Jean-François Delmas, Guillaume Obozinski; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2415-2424
Modeling simple structures and geometry for better stochastic optimization algorithms
Hilal Asi, John C. Duchi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2425-2434
Online learning with feedback graphs and switching costs
Anshuka Rangi, Massimo Franceschetti; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2435-2444
Interpretable Almost-Exact Matching for Causal Inference
Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2445-2453
Statistical Optimal Transport via Factored Couplings
Aden Forrow, Jan-Christian Hütter, Mor Nitzan, Philippe Rigollet, Geoffrey Schiebinger, Jonathan Weed; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2454-2465
$HS^2$: Active learning over hypergraphs with pointwise and pairwise queries
I (Eli) Chien, Huozhi Zhou, Pan Li; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2466-2475
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach
Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba Ba; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2476-2484
Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods
Aryan Mokhtari, Asuman Ozdaglar, Ali Jadbabaie; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2485-2494
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An Optimal Control Approach to Sequential Machine Teaching
Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2495-2503
An Online Algorithm for Smoothed Regression and LQR Control
Gautam Goel, Adam Wierman; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2504-2513
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Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization
Aditya Grover, Stefano Ermon; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2514-2524
Structured Disentangled Representations
Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N Siddharth, Brooks Paige, Dana H. Brooks, Jennifer Dy, Jan-Willem Meent; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2525-2534
Estimating Network Structure from Incomplete Event Data
Benjamin Mark, Garvesh Raskutti, Rebecca Willett; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2535-2544
Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals
Marco Gaboardi, Ryan Rogers, Or Sheffet; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2545-2554
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Estimation of Non-Normalized Mixture Models
Takeru Matsuda, Aapo Hyvärinen; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2555-2563
Rotting bandits are no harder than stochastic ones
Julien Seznec, Andrea Locatelli, Alexandra Carpentier, Alessandro Lazaric, Michal Valko; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2564-2572
A Topological Regularizer for Classifiers via Persistent Homology
Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2573-2582
Overcomplete Independent Component Analysis via SDP
Anastasia Podosinnikova, Amelia Perry, Alexander S. Wein, Francis Bach, Alexandre d’Aspremont, David Sontag; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2583-2592
Doubly Semi-Implicit Variational Inference
Dmitry Molchanov, Valery Kharitonov, Artem Sobolev, Dmitry Vetrov; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2593-2602
Reducing training time by efficient localized kernel regression
Nicole Müecke; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2603-2610
Scalable High-Order Gaussian Process Regression
Shandian Zhe, Wei Xing, Robert M. Kirby; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2611-2620
A Higher-Order Kolmogorov-Smirnov Test
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas, Ryan J. Tibshirani; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2621-2630
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference
Kelvin Hsu, Fabio Ramos; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2631-2640
Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables
Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2641-2649
Credit Assignment Techniques in Stochastic Computation Graphs
Théophane Weber, Nicolas Heess, Lars Buesing, David Silver; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2650-2660
Efficient Bayesian Optimization for Target Vector Estimation
Anders Kirk Uhrenholt, Bjøern Sand Jensen; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2661-2670
Correspondence Analysis Using Neural Networks
Hsiang Hsu, Salman Salamatian, Flavio P. Calmon; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2671-2680
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Jean Feydy, Thibault Séjourné, François-Xavier Vialard, Shun-ichi Amari, Alain Trouve, Gabriel Peyré; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2681-2690
Multi-Observation Regression
Rafael Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2691-2700
Adaptive MCMC via Combining Local Samplers
Kiárash Shaloudegi, András György; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2701-2710
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Variance reduction properties of the reparameterization trick
Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2711-2720
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Hierarchical Clustering for Euclidean Data
Moses Charikar, Vaggos Chatziafratis, Rad Niazadeh, Grigory Yaroslavtsev; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2721-2730
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization
Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2731-2740
Variational Noise-Contrastive Estimation
Benjamin Rhodes, Michael U. Gutmann; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2741-2750
Improving Quadrature for Constrained Integrands
Henry R. Chai, Roman Garnett; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2751-2759
High Dimensional Inference in Partially Linear Models
Ying Zhu, Zhuqing Yu, Guang Cheng; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2760-2769
Cost aware Inference for IoT Devices
Pengkai Zhu, Durmus Alp Emre Acar, Nan Feng, Prateek Jain, Venkatesh Saligrama; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2770-2779
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era
Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2780-2789
A Unified Weight Learning Paradigm for Multi-view Learning
Lai Tian, Feiping Nie, Xuelong Li; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2790-2800
Region-Based Active Learning
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2801-2809
Precision Matrix Estimation with Noisy and Missing Data
Roger Fan, Byoungwook Jang, Yuekai Sun, Shuheng Zhou; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2810-2819
Exploring $k$ out of Top $ρ$ Fraction of Arms in Stochastic Bandits
Wenbo Ren, Jia Liu, Ness B. Shroff; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2820-2828
AutoML from Service Provider’s Perspective: Multi-device, Multi-tenant Model Selection with GP-EI
Chen Yu, Bojan Karlaš, Jie Zhong, Ce Zhang, Ji Liu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2829-2838
On Theory for BART
Veronika Ročková, Enakshi Saha; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2839-2848
Deep Topic Models for Multi-label Learning
Rajat Panda, Ankit Pensia, Nikhil Mehta, Mingyuan Zhou, Piyush Rai; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2849-2857
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On the Dynamics of Gradient Descent for Autoencoders
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2858-2867
Complexities in Projection-Free Stochastic Non-convex Minimization
Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2868-2876
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference
Mike Wu, Noah Goodman, Stefano Ermon; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2877-2886
Efficient Greedy Coordinate Descent for Composite Problems
Sai Praneeth Karimireddy, Anastasia Koloskova, Sebastian U. Stich, Martin Jaggi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2887-2896
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization
Jiahao Xie, Chao Zhang, Zebang Shen, Chao Mi, Hui Qian; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2897-2906
Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models
Craig Kelly, Somdeb Sarkhel, Deepak Venugopal; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2907-2915
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Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter Bartlett, Martin Wainwright; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2916-2925
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective
Anirudh Vemula, Wen Sun, J. Bagnell; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2926-2935
Sampling from Non-Log-Concave Distributions via Variance-Reduced Gradient Langevin Dynamics
Difan Zou, Pan Xu, Quanquan Gu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2936-2945
Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation
Mingming Sun, Ping Li; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2946-2955
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Imitation-Regularized Offline Learning
Yifei Ma, Yu-Xiang Wang, Balakrishnan Narayanaswamy; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2956-2965
A maximum-mean-discrepancy goodness-of-fit test for censored data
Tamara Fernandez, Arthur Gretton; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2966-2975
Sobolev Descent
Youssef Mroueh, Tom Sercu, Anant Raj; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2976-2985
Learning the Structure of a Nonstationary Vector Autoregression
Daniel Malinsky, Peter Spirtes; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2986-2994
Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning
Tadashi Kozuno, Eiji Uchibe, Kenji Doya; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2995-3003
A Fast Sampling Algorithm for Maximum Inner Product Search
QIN DING, Hsiang-Fu Yu, Cho-Jui Hsieh; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3004-3012
Minimum Volume Topic Modeling
Byoungwook Jang, Alfred Hero; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3013-3021
Binary Space Partitioning Forest
Xuhui Fan, Bin Li, Scott SIsson; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3022-3031
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Improved Semi-Supervised Learning with Multiple Graphs
Krishnamurthy Viswanathan, Sushant Sachdeva, Andrew Tomkins, Sujith Ravi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3032-3041
Optimizing over a Restricted Policy Class in MDPs
Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3042-3050
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate
Mor Shpigel Nacson, Nathan Srebro, Daniel Soudry; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3051-3059
Deep Switch Networks for Generating Discrete Data and Language
Payam Delgosha, Naveen Goela; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3060-3069
A recurrent Markov state-space generative model for sequences
Anand Ramachandran, Steve Lumetta, Eric Klee, Deming Chen; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3070-3079
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects
Daniel Malinsky, Ilya Shpitser, Thomas Richardson; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3080-3088
Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators
Zhongliang Li, Tian Xia, Xingyu Lou, Kaihe Xu, Shaojun Wang, Jing Xiao; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3089-3098
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Adaptive Estimation for Approximate $k$-Nearest-Neighbor Computations
Daniel LeJeune, Reinhard Heckel, Richard Baraniuk; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3099-3107
Model-Free Linear Quadratic Control via Reduction to Expert Prediction
Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvari; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3108-3117
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport
Adarsh Subbaswamy, Peter Schulam, Suchi Saria; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3118-3127
Structured Robust Submodular Maximization: Offline and Online Algorithms
Nima Anari, Nika Haghtalab, Seffi Naor, Sebastian Pokutta, Mohit Singh, Alfredo Torrico; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3128-3137
Sample-Efficient Imitation Learning via Generative Adversarial Nets
Lionel Blondé, Alexandros Kalousis; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3138-3148
Probabilistic Multilevel Clustering via Composite Transportation Distance
Nhat Ho, Viet Huynh, Dinh Phung, Michael Jordan; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3149-3157
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
Jialin Song, Yuxin Chen, Yisong Yue; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3158-3167
Online Algorithm for Unsupervised Sensor Selection
Arun Verma, Manjesh Hanawal, Csaba Szepesvari, Venkatesh Saligrama; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3168-3176
Best of many worlds: Robust model selection for online supervised learning
Vidya Muthukumar, Mitas Ray, Anant Sahai, Peter Bartlett; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3177-3186
Accelerating Imitation Learning with Predictive Models
Ching-An Cheng, Xinyan Yan, Evangelos Theodorou, Byron Boots; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3187-3196
Online Learning in Kernelized Markov Decision Processes
Sayak Ray Chowdhury, Aditya Gopalan; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3197-3205
Lifting high-dimensional non-linear models with Gaussian regressors
Christos Thrampoulidis, Ankit Singh Rawat; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3206-3215
Domain-Size Aware Markov Logic Networks
Happy Mittal, Ayush Bhardwaj, Vibhav Gogate, Parag Singla; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3216-3224
Database Alignment with Gaussian Features
Osman E. Dai, Daniel Cullina, Negar Kiyavash; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3225-3233
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Size of Interventional Markov Equivalence Classes in random DAG models
Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3234-3243
Reparameterizing Distributions on Lie Groups
Luca Falorsi, Pim de Haan, Tim R. Davidson, Patrick Forré; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3244-3253
Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization
Xiangru Lian, Ji Liu; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3254-3263
Multi-Order Information for Working Set Selection of Sequential Minimal Optimization
Qimao Yang, Changrong Li, Jun Guo; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3264-3272
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Harmonizable mixture kernels with variational Fourier features
Zheyang Shen, Markus Heinonen, Samuel Kaski; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3273-3282
Multiscale Gaussian Process Level Set Estimation
Shubhanshu Shekhar, Tara Javidi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3283-3291
The LORACs Prior for VAEs: Letting the Trees Speak for the Data
Sharad Vikram, Matthew D. Hoffman, Matthew J. Johnson; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3292-3301
Adversarial Learning of a Sampler Based on an Unnormalized Distribution
Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3302-3311
Active Ranking with Subset-wise Preferences
Aadirupa Saha, Aditya Gopalan; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3312-3321
Recovery Guarantees For Quadratic Tensors With Sparse Observations
Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3322-3332
Sample Efficient Graph-Based Optimization with Noisy Observations
Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3333-3341
Robustness Guarantees for Density Clustering
Heinrich Jiang, Jennifer Jang, Ofir Nachum; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3342-3351
Fixing Mini-batch Sequences with Hierarchical Robust Partitioning
Shengjie Wang, Wenruo Bai, Chandrashekhar Lavania, Jeff Bilmes; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3352-3361
Multitask Metric Learning: Theory and Algorithm
Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, Joelle Pineau; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3362-3371
Efficient Bayes Risk Estimation for Cost-Sensitive Classification
Daniel Andrade, Yuzuru Okajima; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3372-3381
Interpreting Black Box Predictions using Fisher Kernels
Rajiv Khanna, Been Kim, Joydeep Ghosh, Sanmi Koyejo; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3382-3390
Representation Learning on Graphs: A Reinforcement Learning Application
Sephora Madjiheurem, Laura Toni; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3391-3399
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ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery
Raj Agrawal, Chandler Squires, Karren Yang, Karthikeyan Shanmugam, Caroline Uhler; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3400-3409
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design
Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3410-3419
Convergence of Gradient Descent on Separable Data
Mor Shpigel Nacson, Jason Lee, Suriya Gunasekar, Pedro Henrique Pamplona Savarese, Nathan Srebro, Daniel Soudry; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3420-3428
Structured Neural Topic Models for Reviews
Babak Esmaeili, Hongyi Huang, Byron Wallace, Jan-Willem van de Meent; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3429-3439
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity
Kohei Miyaguchi, Kenji Yamanishi; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3440-3448
Low-Dimensional Density Ratio Estimation for Covariate Shift Correction
Petar Stojanov, Mingming Gong, Jaime Carbonell, Kun Zhang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3449-3458
Evaluating model calibration in classification
Juozas Vaicenavicius, David Widmann, Carl Andersson, Fredrik Lindsten, Jacob Roll, Thomas Schön; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3459-3467
Towards Gradient Free and Projection Free Stochastic Optimization
Anit Kumar Sahu, Manzil Zaheer, Soummya Kar; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3468-3477
On Multi-Cause Approaches to Causal Inference with Unobserved Counfounding: Two Cautionary Failure Cases and A Promising Alternative
Alexander D’Amour; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3478-3486
Data-Driven Approach to Multiple-Source Domain Adaptation
Petar Stojanov, Mingming Gong, Jaime Carbonell, Kun Zhang; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3487-3496
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