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Learning Theory

5,334 papers

Papers per year

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123
466
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Papers

An Improved Analysis of Training Over-parameterized Deep Neural Networks NIPS 2019
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks NIPS 2019
Private Learning Implies Online Learning: An Efficient Reduction NIPS 2019
Optimal Best Markovian Arm Identification with Fixed Confidence NIPS 2019
Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits NIPS 2019
Logarithmic Regret for Online Control NIPS 2019
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks NIPS 2019
List-decodable Linear Regression NIPS 2019
On the Hardness of Robust Classification NIPS 2019
Categorized Bandits NIPS 2019
Generalization Bounds for Neural Networks via Approximate Description Length NIPS 2019
A Robust Non-Clairvoyant Dynamic Mechanism for Contextual Auctions NIPS 2019
Strategizing against No-regret Learners NIPS 2019
Triad Constraints for Learning Causal Structure of Latent Variables NIPS 2019
Limiting Extrapolation in Linear Approximate Value Iteration NIPS 2019
On Robustness of Principal Component Regression NIPS 2019
Connections Between Mirror Descent, Thompson Sampling and the Information Ratio NIPS 2019
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NIPS 2019
Deep ReLU Networks Have Surprisingly Few Activation Patterns NIPS 2019
Thresholding Bandit with Optimal Aggregate Regret NIPS 2019
Limits of Private Learning with Access to Public Data NIPS 2019
Regret Bounds for Learning State Representations in Reinforcement Learning NIPS 2019
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