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Learning Theory

5,312 papers

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Papers

Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function NIPS 2019
Finite-Sample Analysis for SARSA with Linear Function Approximation NIPS 2019
On the Expressive Power of Deep Polynomial Neural Networks NIPS 2019
Learning Distributions Generated by One-Layer ReLU Networks NIPS 2019
An adaptive nearest neighbor rule for classification NIPS 2019
Stochastic Bandits with Context Distributions NIPS 2019
Generalization Bounds in the Predict-then-Optimize Framework NIPS 2019
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model NIPS 2019
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data NIPS 2019
Online EXP3 Learning in Adversarial Bandits with Delayed Feedback NIPS 2019
Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints NIPS 2019
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium NIPS 2019
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions NIPS 2019
On the Value of Target Data in Transfer Learning NIPS 2019
Machine Teaching of Active Sequential Learners NIPS 2019
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons NIPS 2019
Limitations of Lazy Training of Two-layers Neural Network NIPS 2019
A Necessary and Sufficient Stability Notion for Adaptive Generalization NIPS 2019
Implicit Regularization of Accelerated Methods in Hilbert Spaces NIPS 2019
Transfer Learning via Minimizing the Performance Gap Between Domains NIPS 2019
Efficiently Learning Fourier Sparse Set Functions NIPS 2019
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup NIPS 2019
Provable Non-linear Inductive Matrix Completion NIPS 2019
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks NIPS 2019
Intrinsic dimension of data representations in deep neural networks NIPS 2019