Yuejie Chi

13 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-6766-5459

Department of Statistics and Data Science, Yale University, New Haven, Connecticut 06511

Publications

• The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis — Operations Research 2024
• Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization — Journal of Machine Learning Research 2024
• Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity — Journal of Machine Learning Research 2024
• Settling the sample complexity of model-based offline reinforcement learning — The Annals of Statistics 2024
• Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model — Operations Research 2024
• Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements — Journal of Machine Learning Research 2022
• Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization — Operations Research 2022
• Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent — Journal of Machine Learning Research 2021
• Subspace estimation from unbalanced and incomplete data matrices: ℓ2,∞ statistical guarantees — The Annals of Statistics 2021
• Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction — Journal of Machine Learning Research 2020
• A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms — Journal of Machine Learning Research 2017
• The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model — Operations Research