Skip to content
conftrace_

minimax optimal

95 papers

Papers

Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation ICML 2022 Nearly Optimal Policy Optimization with Stable at Any Time Guarantee ICML 2022 Near-Optimal Sample Complexity Bounds for Constrained MDPs NeurIPS 2022 On Gap-dependent Bounds for Offline Reinforcement Learning NeurIPS 2022 Optimal estimation of Gaussian DAG models AISTATS 2022 Pessimism for Offline Linear Contextual Bandits using ℓ_p Confidence Sets NeurIPS 2022 Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances NeurIPS 2022 Adapting to function difficulty and growth conditions in private optimization NeurIPS 2021 Deconditional Downscaling with Gaussian Processes NeurIPS 2021 Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path NeurIPS 2021 Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits AISTATS 2021 Is Pessimism Provably Efficient for Offline RL? ICML 2021 MetaGrad: Adaptation using Multiple Learning Rates in Online Learning JMLR 2021 Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs NeurIPS 2021 Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes COLT 2021 Optimal Rates of Distributed Regression with Imperfect Kernels JMLR 2021 Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers NeurIPS 2021 Rate-Optimal Subspace Estimation on Random Graphs NeurIPS 2021 Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects NeurIPS 2020 Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal COLT 2020 MOReL: Model-Based Offline Reinforcement Learning NeurIPS 2020 Randomized tests for high-dimensional regression: A more efficient and powerful solution NeurIPS 2020 SGD with shuffling: optimal rates without component convexity and large epoch requirements NeurIPS 2020 Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes NeurIPS 2020 Approximation and non-parametric estimation of ResNet-type convolutional neural networks ICML 2019