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Learning Theory

5,312 papers

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Papers

Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation ICML 2022
Information Discrepancy in Strategic Learning ICML 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks ICML 2022
Popular decision tree algorithms are provably noise tolerant ICML 2022
Convolutional and Residual Networks Provably Contain Lottery Tickets ICML 2022
A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling ICML 2022
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs ICML 2022
On Non-local Convergence Analysis of Deep Linear Networks ICML 2022
Understanding Robust Generalization in Learning Regular Languages ICML 2022
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation ICML 2022
Distinguishing rule and exemplar-based generalization in learning systems ICML 2022
Inductive Biases and Variable Creation in Self-Attention Mechanisms ICML 2022
Investigating Generalization by Controlling Normalized Margin ICML 2022
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning ICML 2022
Label Ranking through Nonparametric Regression ICML 2022
Achieving Minimax Rates in Pool-Based Batch Active Learning ICML 2022
Identifiability Conditions for Domain Adaptation ICML 2022
No-Regret Learning in Partially-Informed Auctions ICML 2022
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization ICML 2022
A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds ICML 2022
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers ICML 2022
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation ICML 2022
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits ICML 2022
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably) ICML 2022
On the Learning of Non-Autoregressive Transformers ICML 2022