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Learning Theory

5,312 papers

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Papers

Minimizing Dynamic Regret and Adaptive Regret Simultaneously AISTATS 2020
Understanding Generalization in Deep Learning via Tensor Methods AISTATS 2020
Sharp Thresholds of the Information Cascade Fragility Under a Mismatched Model AISTATS 2020
Formal Limitations on the Measurement of Mutual Information AISTATS 2020
Robust Learning from Discriminative Feature Feedback AISTATS 2020
Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses AISTATS 2020
On Generalization Bounds of a Family of Recurrent Neural Networks AISTATS 2020
Fast and Bayes-consistent nearest neighbors AISTATS 2020
The True Sample Complexity of Identifying Good Arms AISTATS 2020
Fixed-confidence guarantees for Bayesian best-arm identification AISTATS 2020
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration AISTATS 2020
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles AISTATS 2020
Assessing Local Generalization Capability in Deep Models AISTATS 2020
Online Learning with Continuous Variations: Dynamic Regret and Reductions AISTATS 2020
Approximate Cross-Validation in High Dimensions with Guarantees AISTATS 2020
Thresholding Bandit Problem with Both Duels and Pulls AISTATS 2020
On Thompson Sampling for Smoother-than-Lipschitz Bandits AISTATS 2020
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning AISTATS 2020
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity AISTATS 2020
Tensorized Random Projections AISTATS 2020
Learning in Gated Neural Networks AISTATS 2020
Understanding the Effects of Batching in Online Active Learning AISTATS 2020
On the interplay between noise and curvature and its effect on optimization and generalization AISTATS 2020
Learning piecewise Lipschitz functions in changing environments AISTATS 2020
Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems AISTATS 2020