Yuejie Chi

Most-cited papers

Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Yuejie Chi, Yue M. Lu, Yuxin Chen
2018IEEE Transactions on Signal Processing510 citations Open access
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Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval
Yuxin Chen, Yuejie Chi, Jian-Qing Fan, Cong Ma
2018Mathematical programming271 citations Open access
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Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution
Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2017Foundations of Computational Mathematics268 citations Open access
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Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization
Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei +1 more
2020Operational Research267 citations Open access
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Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen, Yuejie Chi, Jian-Qing Fan, Cong Ma
2020Found. Trends Mach. Learn.238 citations Open access
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Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation: Recent Theory and Fast Algorithms via Convex and Nonconvex Optimization
Yu-Dong Chen, Yuejie Chi
2018IEEE Signal Processing Magazine183 citations
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Harnessing Sparsity Over the Continuum: Atomic norm minimization for superresolution
Yuejie Chi, Maxime Ferreira Da Costa
2019IEEE Signal Processing Magazine168 citations Open access
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Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu +1 more
2020Neural Information Processing Systems161 citations Open access
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Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent
Tian Tong, Cong Ma, Yuejie Chi
2020Journal of machine learning research160 citations
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NOISY MATRIX COMPLETION: UNDERSTANDING STATISTICAL GUARANTEES FOR CONVEX RELAXATION VIA NONCONVEX OPTIMIZATION
Yuxin Chen, Yuejie Chi, Jian-Qing Fan, Cong Ma +1 more
2019SIAM Journal on Optimization153 citations Open access
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Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu +1 more
2020IEEE Transactions on Information Theory152 citations Open access
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Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction
Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
2019International Conference on Artificial Intelligence and Statistics130 citations
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Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen +1 more
2022International Conference on Machine Learning118 citations
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Settling the Sample Complexity of Model-Based Offline Reinforcement Learning
Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi +1 more
2022Annals of Statistics115 citations Open access
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Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity
Laixi Shi, Yuejie Chi
2022Journal of machine learning research113 citations Open access
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Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence
Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen +2 more
2021SIAM Journal on Optimization111 citations Open access
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Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
Shicong Cen, Yuting Wei, Yuejie Chi
2021Neural Information Processing Systems105 citations
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Streaming PCA and Subspace Tracking: The Missing Data Case
L. Balzano, Yuejie Chi, Yue M. Lu
2018Proceedings of the IEEE104 citations Open access
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Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models
Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2023arXiv.org97 citations Open access
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A large collection of real-world pediatric sleep studies
Harlin Lee, Boyue Li, Shelly DeForte, M. Splaingard +3 more
2021Scientific Data76 citations Open access
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BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression
Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtárik +1 more
2022Neural Information Processing Systems75 citations
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Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
Gen Li, Laixi Shi, Yu-Xin Chen, Yuantao Gu +1 more
2021Neural Information Processing Systems72 citations Open access
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Softmax policy gradient methods can take exponential time to converge
Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
2021Mathematical programming70 citations Open access
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SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
Zhize Li, Haoyu Zhao, Boyue Li, Yuejie Chi
2022Neural Information Processing Systems68 citations Open access
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Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁2, ∞ Statistical Guarantees
Chang-Xiao Cai, Gen Li, Yuejie Chi, H. Poor +1 more
2021arXiv.org67 citations Open access
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The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen +2 more
2023Neural Information Processing Systems66 citations Open access
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Low-Rank Matrix Recovery with Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number
Tian Tong, Cong Ma, Yuejie Chi
20202021 IEEE Data Science and Learning Workshop (DSLW)66 citations Open access
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Nonconvex Matrix Factorization From Rank-One Measurements
Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi
2018IEEE Transactions on Information Theory64 citations Open access
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Understanding Masked Autoencoders via Hierarchical Latent Variable Models
Lingjing Kong, Martin Q. Ma, Guang-Yi Chen, E. Xing +3 more
2023Computer Vision and Pattern Recognition57 citations Open access
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The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma
2023International Conference on Machine Learning56 citations Open access
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Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements
Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp +1 more
2021Journal of machine learning research54 citations
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Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
Shicong Cen, Yuejie Chi, S. Du, Lin Xiao
2022International Conference on Learning Representations49 citations Open access
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The Blessing of Heterogeneity in Federated Q-learning: Linear Speedup and Beyond
Jiin Woo, Gauri Joshi, Yuejie Chi
2023International Conference on Machine Learning47 citations Open access
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Beyond Procrustes: Balancing-free Gradient Descent for Asymmetric Low-Rank Matrix Sensing
Cong Ma, Yuanxin Li, Yuejie Chi
2019Asilomar Conference on Signals, Systems and Computers44 citations
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Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy
Hao-Yu Fu, Yuejie Chi, Ying-Bin Liang
2018IEEE Transactions on Signal Processing41 citations Open access
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Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
2023Neural Information Processing Systems40 citations Open access
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Vector-Valued Graph Trend Filtering with Non-Convex Penalties
R. Varma, Harlin Lee, J. Kovačević, Yuejie Chi
2019IEEE Transactions on Signal and Information Processing over Networks40 citations Open access
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Identification of Nonlinear Latent Hierarchical Models
Lingjing Kong, Biwei Huang, Feng Xie, E. Xing +2 more
2023Neural Information Processing Systems38 citations Open access
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Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu +1 more
2021Neural Information Processing Systems34 citations
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Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion
Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2018International Conference on Machine Learning31 citations
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Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning
Yuheng Zhang, Hang-Hang Tong, Ying-Long Xia, Yan Zhu +2 more
2022AAAI Conference on Artificial Intelligence29 citations Open access
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Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data
Shicong Cen, Hui-Shuai Zhang, Yuejie Chi, Wei Chen +1 more
2019IEEE Transactions on Signal Processing29 citations Open access
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Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently
Laixi Shi, Yuejie Chi
2019IEEE Transactions on Information Theory26 citations Open access
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DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization
Boyue Li, Zhize Li, Yuejie Chi
2021SIAM Journal on Mathematics of Data Science25 citations Open access
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On the Stable Resolution Limit of Total Variation Regularization for Spike Deconvolution
Maxime Ferreira Da Costa, Yuejie Chi
2019IEEE Transactions on Information Theory25 citations Open access
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Convergence and Privacy of Decentralized Nonconvex Optimization With Gradient Clipping and Communication Compression
Boyue Li, Yuejie Chi
2023IEEE Journal on Selected Topics in Signal Processing23 citations Open access
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Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen
2022Neural Information Processing Systems23 citations Open access
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Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning
Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi +1 more
2023Neural Information Processing Systems22 citations Open access
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Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent
Harry Dong, Tian Tong, Cong Ma, Yuejie Chi
2022Information and Inference A Journal of the IMA22 citations Open access
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Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning
Gen Li, Chang-Xiao Cai, Yuxin Chen, Yuantao Gu +2 more
2021International Conference on Machine Learning21 citations
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