Co-occurring keywords · papers mentioning both
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