Yuxin Chen 0002 - researchr alias

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Viewing Publication 1 - 30 from 30

2023

Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement LearningGen Li 0005, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen 0002. nips 2023: [doi]

Softmax policy gradient methods can take exponential time to convergeGen Li 0005, Yuting Wei, Yuejie Chi, Yuxin Chen 0002. mp, 201(1):707-802, 2023. [doi]

Uncertainty Quantification for Nonconvex Tensor Completion: Confidence Intervals, Heteroscedasticity and OptimalityChangxiao Cai, H. Vincent Poor, Yuxin Chen 0002. TIT, 69(1):407-452, 2023. [doi]

The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative ModelLaixi Shi, Gen Li 0005, Yuting Wei, Yuxin Chen 0002, Matthieu Geist, Yuejie Chi. nips 2023: [doi]

The Efficacy of Pessimism in Asynchronous Q-LearningYuling Yan, Gen Li 0005, Yuxin Chen 0002, Jianqing Fan. TIT, 69(11):7185-7219, November 2023. [doi]

Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear ConvergenceWenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen 0002, Jason D. Lee, Yuejie Chi. siamjo, 33(2):1061-1091, June 2023. [doi]

2022

Minimax-Optimal Multi-Agent RL in Markov Games With a Generative ModelGen Li 0005, Yuejie Chi, Yuting Wei, Yuxin Chen 0002. nips 2022: [doi]

Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance ReductionGen Li 0005, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen 0002. TIT, 68(1):448-473, 2022. [doi]

Nonconvex Low-Rank Tensor Completion from Noisy DataChangxiao Cai, Gen Li 0005, H. Vincent Poor, Yuxin Chen 0002. ior, 70(2):1219-1237, 2022. [doi]

Fast Global Convergence of Natural Policy Gradient Methods with Entropy RegularizationShicong Cen, Chen Cheng, Yuxin Chen 0002, Yuting Wei, Yuejie Chi. ior, 70(4):2563-2578, 2022. [doi]

Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample ComplexityLaixi Shi, Gen Li 0005, Yuting Wei, Yuxin Chen 0002, Yuejie Chi. icml 2022: 19967-20025 [doi]

2021

Spectral Methods for Data Science: A Statistical PerspectiveYuxin Chen 0002, Yuejie Chi, Jianqing Fan, Cong Ma. ftml, 14(5):566-806, 2021. [doi]

Nonconvex Matrix Factorization From Rank-One MeasurementsYuanxin Li 0003, Cong Ma, Yuxin Chen 0002, Yuejie Chi. TIT, 67(3):1928-1950, 2021. [doi]

Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited RevisitingGen Li 0005, Yuxin Chen 0002, Yuejie Chi, Yuantao Gu, Yuting Wei. nips 2021: 16671-16685 [doi]

Tightening the Dependence on Horizon in the Sample Complexity of Q-LearningGen Li 0005, Changxiao Cai, Yuxin Chen 0002, Yuantao Gu, Yuting Wei, Yuejie Chi. icml 2021: 6296-6306 [doi]

Softmax Policy Gradient Methods Can Take Exponential Time to ConvergeGen Li 0005, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen 0002. colt 2021: 3107-3110 [doi]

Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement LearningGen Li 0005, Laixi Shi, Yuxin Chen 0002, Yuantao Gu, Yuejie Chi. nips 2021: 17762-17776 [doi]

Learning Mixtures of Low-Rank ModelsYanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen 0002. TIT, 67(7):4613-4636, 2021. [doi]

Tackling Small Eigen-Gaps: Fine-Grained Eigenvector Estimation and Inference Under Heteroscedastic NoiseChen Cheng, Yuting Wei, Yuxin Chen 0002. TIT, 67(11):7380-7419, 2021. [doi]

2020

Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex OptimizationYuxin Chen 0002, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan. siamjo, 30(4):3098-3121, 2020. [doi]

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative ModelGen Li 0005, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen 0002. nips 2020: [doi]

Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance ReductionGen Li 0005, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen 0002. nips 2020: [doi]

Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimalityChangxiao Cai, H. Vincent Poor, Yuxin Chen 0002. icml 2020: 1271-1282 [doi]

Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance ReductionBoyue Li, Shicong Cen, Yuxin Chen 0002, Yuejie Chi. aistats 2020: 1662-1672 [doi]

Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance ReductionBoyue Li, Shicong Cen, Yuxin Chen 0002, Yuejie Chi. jmlr, 21, 2020. [doi]

Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind DeconvolutionCong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen 0002. focm, 20(3):451-632, 2020. [doi]

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