Theory

Learning Tractable Probabilistic Models from Inconsistent Local Estimates NeurIPS 2022 Learning (Very) Simple Generative Models Is Hard NeurIPS 2022 Learning with convolution and pooling operations in kernel methods NeurIPS 2022 Learning with Interactive Models over Decision-Dependent Distributions ACML 2022 Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare NeurIPS 2022 Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration IJCAI 2022 LieGG: Studying Learned Lie Group Generators NeurIPS 2022 Local and Global Convergence of General Burer-Monteiro Tensor Optimizations AAAI 2022 Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems AAAI 2022 Local Constraint-Based Causal Discovery under Selection Bias CLeaR 2022 Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets ICML 2022 Logic Traps in Evaluating Attribution Scores ACL 2022 "Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach NeurIPS 2022 Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression NeurIPS 2022 Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure NeurIPS 2022 Mandarin nasal place assimilation revisited: an acoustic study Interspeech 2022 Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes IJCAI 2022 Maximum Consensus by Weighted Influences of Monotone Boolean Functions CVPR 2022 Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments ICML 2022 MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources Interspeech 2022 Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees ICML 2022 Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits NeurIPS 2022 Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs ICLR 2022 Minimax Regret for Partial Monitoring: Infinite Outcomes and Rustichini’s Regret COLT 2022 Mirror Learning: A Unifying Framework of Policy Optimisation ICML 2022