Wei, Yuting

24 publications

ICML 2025 Actor-Critics Can Achieve Optimal Sample Efficiency Kevin Tan, Wei Fan, Yuting Wei

IJCAI 2025 Learning Causally Disentangled Representations for Fair Personality Detection Yangfu Zhu, Meiling Li, Yuting Wei, Di Liu, Yuqing Li, Bin Wu

AISTATS 2025 Towards a Mathematical Theory for Consistency Training in Diffusion Models Gen Li, Zhihan Huang, Yuting Wei

ICML 2024 Accelerating Convergence of Score-Based Diffusion Models, Provably Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen

JMLR 2024 Debiasing Evaluations That Are Biased by Evaluations Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar Shah

JMLR 2024 Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization Shicong Cen, Yuting Wei, Yuejie Chi

NeurIPS 2024 Federated Natural Policy Gradient and Actor Critic Methods for Multi-Task Reinforcement Learning Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi

NeurIPS 2024 Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs Kevin Tan, Wei Fan, Yuting Wei

ICML 2024 Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models Yuchen Wu, Minshuo Chen, Zihao Li, Mengdi Wang, Yuting Wei

ICLR 2024 Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi

NeurIPS 2023 The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi

NeurIPS 2022 Minimax-Optimal Multi-Agent RL in Markov Games with a Generative Model Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen

ICML 2022 Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi

AISTATS 2021 Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression Pratik Patil, Yuting Wei, Alessandro Rinaldo, Ryan Tibshirani

AAAI 2021 Debiasing Evaluations That Are Biased by Evaluations Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah

NeurIPS 2021 Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization Shicong Cen, Yuting Wei, Yuejie Chi

NeurIPS 2021 Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei

COLT 2021 SoftMax Policy Gradient Methods Can Take Exponential Time to Converge Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen

ICML 2021 Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi

NeurIPS 2020 Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen

NeurIPS 2020 Randomized Tests for High-Dimensional Regression: A More Efficient and Powerful Solution Yue Li, Ilmun Kim, Yuting Wei

NeurIPS 2020 Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen

ICML 2020 Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification Chen Dan, Yuting Wei, Pradeep Ravikumar

NeurIPS 2017 Early Stopping for Kernel Boosting Algorithms: A General Analysis with Localized Complexities Yuting Wei, Fanny Yang, Martin J. Wainwright