Fast global convergence of natural policy gradient methods with entropy regularization S Cen, C Cheng, Y Chen, Y Wei, Y Chi
Operations Research 70 (4), 2563-2578, 2022
226 2022 Breaking the sample size barrier in model-based reinforcement learning with a generative model G Li, Y Wei, Y Chi, Y Chen
Operations Research 72 (1), 203-221, 2024
148 * 2024 Sample complexity of asynchronous Q-learning: Sharper analysis and variance reduction G Li, Y Wei, Y Chi, Y Gu, Y Chen
IEEE Transactions on Information Theory 68 (1), 448-473, 2021
130 2021 The lasso with general gaussian designs with applications to hypothesis testing M Celentano, A Montanari, Y Wei
The Annals of Statistics 51 (5), 2194-2220, 2023
113 2023 Pessimistic q-learning for offline reinforcement learning: Towards optimal sample complexity L Shi, G Li, Y Wei, Y Chen, Y Chi
International conference on machine learning, 19967-20025, 2022
102 2022 Is Q-learning minimax optimal? a tight sample complexity analysis G Li, C Cai, Y Chen, Y Wei, Y Chi
Operations Research 72 (1), 222-236, 2024
94 2024 Early stopping for kernel boosting algorithms: A general analysis with localized complexities Y Wei, F Yang, MJ Wainwright
IEEE Transactions on Information Theory 65 (10), 6685-6703, 2019
92 2019 Settling the sample complexity of model-based offline reinforcement learning G Li, L Shi, Y Chen, Y Chi, Y Wei
The Annals of Statistics 52 (1), 233-260, 2024
88 2024 Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization S Cen, Y Wei, Y Chi
Journal of Machine Learning Research 25 (4), 1-48, 2024
85 2024 Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification C Dan, Y Wei, P Ravikumar
International Conference on Machine Learning, 2345-2355, 2020
64 2020 Towards faster non-asymptotic convergence for diffusion-based generative models G Li, Y Wei, Y Chen, Y Chi
arXiv preprint arXiv:2306.09251, 2023
62 * 2023 Softmax Policy Gradient Methods Can Take Exponential Time to Converge G Li, Y Wei, Y Chi, Y Chen
accepted to Mathematical Programming, 2021
62 * 2021 Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression P Patil, Y Wei, A Rinaldo, R Tibshirani
International Conference on Artificial Intelligence and Statistics, 3178-3186, 2021
53 2021 Derandomizing knockoffs Z Ren, Y Wei, E Candès
Journal of the American Statistical Association 118 (542), 948-958, 2023
43 2023 The curious price of distributional robustness in reinforcement learning with a generative model L Shi, G Li, Y Wei, Y Chen, M Geist, Y Chi
Advances in Neural Information Processing Systems 36, 2024
37 2024 Minimax-optimal multi-agent RL in zero-sum Markov games with a generative model G Li, Y Chi, Y Wei, Y Chen
Advances in Neural Information Processing Systems, 2022
37 * 2022 Integration and transfer learning of single-cell transcriptomes via cFIT M Peng, Y Li, B Wamsley, Y Wei, K Roeder
Proceedings of the National Academy of Sciences 118 (10), 2021
37 2021 Minimum Y Li, Y Wei
arXiv preprint arXiv:2110.09502, 2021
35 2021 Tackling small eigen-gaps: Fine-grained eigenvector estimation and inference under heteroscedastic noise C Cheng, Y Wei, Y Chen
IEEE Transactions on Information Theory 67 (11), 7380-7419, 2021
33 * 2021 Sample-efficient reinforcement learning is feasible for linearly realizable MDPs with limited revisiting G Li, Y Chen, Y Chi, Y Gu, Y Wei
Advances in Neural Information Processing Systems 34, 16671-16685, 2021
32 2021 