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Learning Theory

5,312 papers

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Papers

Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization ICML 2022
Instance Dependent Regret Analysis of Kernelized Bandits ICML 2022
Reverse Engineering the Neural Tangent Kernel ICML 2022
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments ICML 2022
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm ICML 2022
Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data ICML 2022
Simple and near-optimal algorithms for hidden stratification and multi-group learning ICML 2022
The CLRS Algorithmic Reasoning Benchmark ICML 2022
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation ICML 2022
On Implicit Bias in Overparameterized Bilevel Optimization ICML 2022
Multiclass learning with margin: exponential rates with no bias-variance trade-off ICML 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach ICML 2022
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes ICML 2022
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond ICML 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery ICML 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics ICML 2022
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize ICML 2022
DAVINZ: Data Valuation using Deep Neural Networks at Initialization ICML 2022
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee ICML 2022
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm ICML 2022
On the Statistical Benefits of Curriculum Learning ICML 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization ICML 2022
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization ICML 2022
Investigating Why Contrastive Learning Benefits Robustness against Label Noise ICML 2022
Does the Data Induce Capacity Control in Deep Learning? ICML 2022