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Yuejie Chi

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Low-Rank Matrix Recovery with Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number

Oct 26, 2020
Tian Tong, Cong Ma, Yuejie Chi

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Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization

Aug 10, 2020
Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi

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Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model

Jun 17, 2020
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen

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Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction

Jun 04, 2020
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen

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Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent

May 18, 2020
Tian Tong, Cong Ma, Yuejie Chi

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Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently

Nov 25, 2019
Laixi Shi, Yuejie Chi

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Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees

Oct 09, 2019
Changxiao Cai, Gen Li, Yuejie Chi, H. Vincent Poor, Yuxin Chen

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