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Learning Theory

5,312 papers

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Papers

Randomized Exploration in Reinforcement Learning with General Value Function Approximation ICML 2021
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free ICML 2021
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis ICML 2021
Characterizing Structural Regularities of Labeled Data in Overparameterized Models ICML 2021
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs ICML 2021
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information ICML 2021
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models ICML 2021
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits ICML 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts ICML 2021
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning ICML 2021
A Distribution-dependent Analysis of Meta Learning ICML 2021
Meta-Thompson Sampling ICML 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks ICML 2021
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study ICML 2021
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions ICML 2021
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity ICML 2021
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously ICML 2021
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems ICML 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot ICML 2021
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning ICML 2021
Sharper Generalization Bounds for Clustering ICML 2021
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks ICML 2021
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play ICML 2021
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds ICML 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021