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Learning Theory

5,312 papers

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Papers

Locally Private Learning without Interaction Requires Separation NIPS 2019
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration NIPS 2019
Learning Deterministic Weighted Automata with Queries and Counterexamples NIPS 2019
Improved Regret Bounds for Bandit Combinatorial Optimization NIPS 2019
Offline Contextual Bandits with High Probability Fairness Guarantees NIPS 2019
LCA: Loss Change Allocation for Neural Network Training NIPS 2019
Polynomial Cost of Adaptation for X-Armed Bandits NIPS 2019
Initialization of ReLUs for Dynamical Isometry NIPS 2019
A Refined Margin Distribution Analysis for Forest Representation Learning NIPS 2019
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity NIPS 2019
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence NIPS 2019
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs NIPS 2019
Margin-Based Generalization Lower Bounds for Boosted Classifiers NIPS 2019
Graph-based Discriminators: Sample Complexity and Expressiveness NIPS 2019
On the number of variables to use in principal component regression NIPS 2019
Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback NIPS 2019
Constraint-based Causal Structure Learning with Consistent Separating Sets NIPS 2019
Efficient Deep Approximation of GMMs NIPS 2019
A Meta-Analysis of Overfitting in Machine Learning NIPS 2019
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks NIPS 2019
Adaptive Gradient-Based Meta-Learning Methods NIPS 2019
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards NIPS 2019
Efficient online learning with kernels for adversarial large scale problems NIPS 2019
Computational Separations between Sampling and Optimization NIPS 2019
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds NIPS 2019