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Learning Theory

5,312 papers

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Papers

Multinomial Logit Bandit with Low Switching Cost ICML 2020
Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer ICML 2020
Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders ICML 2020
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation ICML 2020
Cooperative Multi-Agent Bandits with Heavy Tails ICML 2020
Training Linear Neural Networks: Non-Local Convergence and Complexity Results ICML 2020
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles ICML 2020
Logarithmic Regret for Adversarial Online Control ICML 2020
No-Regret and Incentive-Compatible Online Learning ICML 2020
Abstraction Mechanisms Predict Generalization in Deep Neural Networks ICML 2020
Generalization and Representational Limits of Graph Neural Networks ICML 2020
One Size Fits All: Can We Train One Denoiser for All Noise Levels? ICML 2020
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent ICML 2020
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines ICML 2020
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy ICML 2020
Optimal Robust Learning of Discrete Distributions from Batches ICML 2020
Information-Theoretic Local Minima Characterization and Regularization ICML 2020
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition ICML 2020
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model ICML 2020
Uniform Convergence of Rank-weighted Learning ICML 2020
Optimal Continual Learning has Perfect Memory and is NP-hard ICML 2020
On the Sample Complexity of Adversarial Multi-Source PAC Learning ICML 2020
Asynchronous Coagent Networks ICML 2020
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness ICML 2020