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Yuejie Chi
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- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2024
- [j57]He Wang, Laixi Shi, Yuejie Chi:
Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes. RLJ 3: 1467-1510 (2024) - [j56]Gen Li, Yuting Wei
, Yuejie Chi
, Yuxin Chen
:
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. Oper. Res. 72(1): 203-221 (2024) - [j55]Gen Li, Changxiao Cai
, Yuxin Chen
, Yuting Wei
, Yuejie Chi
:
Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis. Oper. Res. 72(1): 222-236 (2024) - [j54]Shicong Cen, Yuting Wei, Yuejie Chi:
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. J. Mach. Learn. Res. 25: 4:1-4:48 (2024) - [j53]Laixi Shi, Yuejie Chi:
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity. J. Mach. Learn. Res. 25: 200:1-200:91 (2024) - [j52]Yi Ma, Yuejie Chi, Ivan Dokmanic, Bihan Wen, John N. Wright, Zhihui Zhu:
Editorial Introduction to the Special Issue Seeking Low-Dimensionality in Deep Neural Networks (SLowDNN). IEEE J. Sel. Top. Signal Process. 18(6): 980-984 (2024) - [j51]Gen Li, Weichen Wu
, Yuejie Chi
, Cong Ma
, Alessandro Rinaldo, Yuting Wei
:
High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation. IEEE Trans. Inf. Theory 70(8): 5969-5999 (2024) - [c98]Sijin Chen, Zhize Li, Yuejie Chi:
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression. AISTATS 2024: 2701-2709 - [c97]Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi:
Communication-efficient Vertical Federated Learning via Compressed Error Feedback. EUSIPCO 2024: 1037-1041 - [c96]He Wang, Yuejie Chi:
Communication-Efficient Federated Optimization over Semi-Decentralized Networks. ICASSP 2024: 13241-13245 - [c95]Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi:
Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models. ICLR 2024 - [c94]Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen:
Accelerating Convergence of Score-Based Diffusion Models, Provably. ICML 2024 - [c93]Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen:
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference. ICML 2024 - [c92]Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman:
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty. ICML 2024 - [c91]Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi:
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices. ICML 2024 - [c90]Xingyu Xu, Yuejie Chi:
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction. NeurIPS 2024 - [c89]Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang:
Learning Discrete Concepts in Latent Hierarchical Models. NeurIPS 2024 - [c88]Sudeep Salgia, Yuejie Chi:
The Sample-Communication Complexity Trade-off in Federated Q-Learning. NeurIPS 2024 - [c87]Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi:
In-Context Learning with Representations: Contextual Generalization of Trained Transformers. NeurIPS 2024 - [c86]Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi:
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning. NeurIPS 2024 - [i98]Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai:
Beyond Expectations: Learning with Stochastic Dominance Made Practical. CoRR abs/2402.02698 (2024) - [i97]Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi:
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices. CoRR abs/2402.05876 (2024) - [i96]Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen:
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference. CoRR abs/2402.09398 (2024) - [i95]Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang:
Counterfactual Generation with Identifiability Guarantees. CoRR abs/2402.15309 (2024) - [i94]Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang:
Transformers Provably Learn Feature-Position Correlations in Masked Image Modeling. CoRR abs/2403.02233 (2024) - [i93]Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen:
Accelerating Convergence of Score-Based Diffusion Models, Provably. CoRR abs/2403.03852 (2024) - [i92]He Wang, Laixi Shi, Yuejie Chi:
Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes. CoRR abs/2403.12946 (2024) - [i91]Xingyu Xu, Yuejie Chi:
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction. CoRR abs/2403.17042 (2024) - [i90]Harry Dong, Beidi Chen, Yuejie Chi:
Prompt-prompted Mixture of Experts for Efficient LLM Generation. CoRR abs/2404.01365 (2024) - [i89]Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman:
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty. CoRR abs/2404.18909 (2024) - [i88]Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai:
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. CoRR abs/2405.19320 (2024) - [i87]Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang:
Learning Discrete Concepts in Latent Hierarchical Models. CoRR abs/2406.00519 (2024) - [i86]Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi:
Communication-efficient Vertical Federated Learning via Compressed Error Feedback. CoRR abs/2406.14420 (2024) - [i85]Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen:
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models. CoRR abs/2408.02320 (2024) - [i84]Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi:
In-Context Learning with Representations: Contextual Generalization of Trained Transformers. CoRR abs/2408.10147 (2024) - [i83]Sudeep Salgia, Yuejie Chi:
The Sample-Communication Complexity Trade-off in Federated Q-Learning. CoRR abs/2408.16981 (2024) - [i82]Laixi Shi, Jingchu Gai, Eric Mazumdar, Yuejie Chi, Adam Wierman:
Can We Break the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning? CoRR abs/2409.20067 (2024) - [i81]Timofey Efimov, Harry Dong, Megna Shah, Jeff P. Simmons, Sean Donegan, Yuejie Chi:
Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information. CoRR abs/2410.05143 (2024) - [i80]Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai:
Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment. CoRR abs/2410.20727 (2024) - [i79]Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen:
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference. CoRR abs/2410.21465 (2024) - [i78]Pedro Valdeira, Shiqiang Wang, Yuejie Chi:
Vertical Federated Learning with Missing Features During Training and Inference. CoRR abs/2410.22564 (2024) - 2023
- [j50]Maxime Ferreira Da Costa
, Yuejie Chi
:
Local Geometry of Nonconvex Spike Deconvolution From Low-Pass Measurements. IEEE J. Sel. Areas Inf. Theory 4: 1-15 (2023) - [j49]Gen Li, Yuting Wei, Yuejie Chi
, Yuxin Chen
:
Softmax policy gradient methods can take exponential time to converge. Math. Program. 201(1): 707-802 (2023) - [j48]Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen
, Jason D. Lee, Yuejie Chi
:
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. SIAM J. Optim. 33(2): 1061-1091 (2023) - [c85]Lingjing Kong, Martin Q. Ma, Guangyi Chen
, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang:
Understanding Masked Autoencoders via Hierarchical Latent Variable Models. CVPR 2023: 7918-7928 - [c84]Harry Dong, Megna Shah, Sean Donegan, Yuejie Chi:
Deep Unfolded Tensor Robust PCA With Self-Supervised Learning. ICASSP 2023: 1-5 - [c83]Ruicheng Ao, Shicong Cen, Yuejie Chi:
Asynchronous Gradient Play in Zero-Sum Multi-agent Games. ICLR 2023 - [c82]Shicong Cen, Yuejie Chi, Simon Shaolei Du, Lin Xiao:
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games. ICLR 2023 - [c81]Jiin Woo, Gauri Joshi, Yuejie Chi:
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond. ICML 2023: 37157-37216 - [c80]Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma:
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing. ICML 2023: 38611-38654 - [c79]Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen:
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. NeurIPS 2023 - [c78]Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao:
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. NeurIPS 2023 - [c77]Lingjing Kong, Biwei Huang, Feng Xie, Eric P. Xing, Yuejie Chi, Kun Zhang:
Identification of Nonlinear Latent Hierarchical Models. NeurIPS 2023 - [c76]Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi:
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. NeurIPS 2023 - [c75]Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang:
Counterfactual Generation with Identifiability Guarantees. NeurIPS 2023 - [c74]Laixi Shi
, Robert Dadashi, Yuejie Chi
, Pablo Samuel Castro, Matthieu Geist:
Offline Reinforcement Learning with On-Policy Q-Function Regularization. ECML/PKDD (4) 2023: 455-471 - [c73]Yiqi Wang, Mengdi Xu, Laixi Shi, Yuejie Chi:
A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning. UAI 2023: 2226-2236 - [i77]Gen Li, Yanxi Chen, Yuejie Chi, H. Vincent Poor, Yuxin Chen:
Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. CoRR abs/2301.13006 (2023) - [i76]Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma:
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing. CoRR abs/2302.01186 (2023) - [i75]Boyue Li, Yuejie Chi:
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression. CoRR abs/2305.09896 (2023) - [i74]Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen:
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. CoRR abs/2305.10282 (2023) - [i73]Jiin Woo, Gauri Joshi, Yuejie Chi:
The Blessing of Heterogeneity in Federated Q-learning: Linear Speedup and Beyond. CoRR abs/2305.10697 (2023) - [i72]Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi:
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. CoRR abs/2305.16589 (2023) - [i71]Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei:
Sharp high-probability sample complexities for policy evaluation with linear function approximation. CoRR abs/2305.19001 (2023) - [i70]Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang:
Understanding Masked Autoencoders via Hierarchical Latent Variable Models. CoRR abs/2306.04898 (2023) - [i69]Lingjing Kong, Biwei Huang, Feng Xie, Eric P. Xing, Yuejie Chi, Kun Zhang:
Identification of Nonlinear Latent Hierarchical Models. CoRR abs/2306.07916 (2023) - [i68]Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi:
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models. CoRR abs/2306.09251 (2023) - [i67]Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao:
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. CoRR abs/2307.07907 (2023) - [i66]Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist:
Offline Reinforcement Learning with On-Policy Q-Function Regularization. CoRR abs/2307.13824 (2023) - [i65]Harry Dong, Sean Donegan, Megna Shah, Yuejie Chi:
A Lightweight Transformer for Faster and Robust EBSD Data Collection. CoRR abs/2308.09693 (2023) - [i64]Pedro Valdeira, Yuejie Chi, Cláudia Soares, João Xavier:
A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning. CoRR abs/2309.09977 (2023) - [i63]Shicong Cen, Yuejie Chi:
Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control. CoRR abs/2310.05230 (2023) - [i62]Cong Ma, Xingyu Xu, Tian Tong, Yuejie Chi:
Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization. CoRR abs/2310.06159 (2023) - [i61]Sijin Chen, Zhize Li, Yuejie Chi:
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression. CoRR abs/2310.19059 (2023) - [i60]Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi:
Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning. CoRR abs/2311.00201 (2023) - [i59]He Wang, Yuejie Chi:
Communication-Efficient Federated Optimization over Semi-Decentralized Networks. CoRR abs/2311.18787 (2023) - 2022
- [j47]Shicong Cen, Chen Cheng, Yuxin Chen
, Yuting Wei
, Yuejie Chi
:
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. Oper. Res. 70(4): 2563-2578 (2022) - [j46]Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi:
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements. J. Mach. Learn. Res. 23: 163:1-163:77 (2022) - [j45]Boyue Li, Zhize Li, Yuejie Chi:
DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization. SIAM J. Math. Data Sci. 4(3): 1031-1051 (2022) - [j44]Gen Li, Yuting Wei
, Yuejie Chi
, Yuantao Gu
, Yuxin Chen
:
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. IEEE Trans. Inf. Theory 68(1): 448-473 (2022) - [c72]Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying
:
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning. AAAI 2022: 9118-9126 - [c71]Diogo Cardoso, Boyue Li, Yuejie Chi, João Xavier:
Harvesting Curvatures for Communication-Efficient Distributed Optimization. IEEECONF 2022: 749-753 - [c70]Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi:
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion. AISTATS 2022: 2607-2617 - [c69]Shicong Cen, Fan Chen, Yuejie Chi:
Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization. CDC 2022: 2833-2838 - [c68]Harlin Lee, Andrea L. Bertozzi
, Jelena Kovacevic, Yuejie Chi
:
Privacy-Preserving Federated Multi-Task Linear Regression: A One-Shot Linear Mixing Approach Inspired By Graph Regularization. ICASSP 2022: 5947-5951 - [c67]Tian Tong, Cong Ma, Yuejie Chi
:
Accelerating ILL-Conditioned Robust Low-Rank Tensor Regression. ICASSP 2022: 9072-9076 - [c66]Yuheng Zhang, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying
, Hanghang Tong:
Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning. ICDM 2022: 1329-1334 - [c65]Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi:
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. ICML 2022: 19967-20025 - [c64]Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen:
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model. NeurIPS 2022 - [c63]Zhize Li, Haoyu Zhao, Boyue Li, Yuejie Chi:
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression. NeurIPS 2022 - [c62]Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtárik, Yuejie Chi:
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression. NeurIPS 2022 - [e1]Diana Marculescu, Yuejie Chi, Carole-Jean Wu:
Proceedings of the Fifth Conference on Machine Learning and Systems, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022. mlsys.org 2022 [contents] - [i58]Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtárik
, Yuejie Chi:
BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression. CoRR abs/2201.13320 (2022) - [i57]Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi:
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. CoRR abs/2202.13890 (2022) - [i56]Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi, Yuting Wei:
Settling the Sample Complexity of Model-Based Offline Reinforcement Learning. CoRR abs/2204.05275 (2022) - [i55]Shicong Cen, Fan Chen, Yuejie Chi:
Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization. CoRR abs/2204.05466 (2022) - [i54]Harry Dong, Tian Tong, Cong Ma, Yuejie Chi
:
Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent. CoRR abs/2206.09109 (2022) - [i53]Zhize Li, Haoyu Zhao, Boyue Li, Yuejie Chi
:
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression. CoRR abs/2206.09888 (2022) - [i52]Laixi Shi, Yuejie Chi
:
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity. CoRR abs/2208.05767 (2022) - [i51]Maxime Ferreira Da Costa, Yuejie Chi
:
Local Geometry of Nonconvex Spike Deconvolution from Low-Pass Measurements. CoRR abs/2208.10073 (2022) - [i50]Gen Li, Yuejie Chi
, Yuting Wei, Yuxin Chen:
Minimax-Optimal Multi-Agent RL in Zero-Sum Markov Games With a Generative Model. CoRR abs/2208.10458 (2022) - [i49]Shicong Cen, Yuejie Chi
, Simon S. Du, Lin Xiao:
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games. CoRR abs/2210.01050 (2022) - [i48]Ruicheng Ao, Shicong Cen, Yuejie Chi
:
Asynchronous Gradient Play in Zero-Sum Multi-agent Games. CoRR abs/2211.08980 (2022) - [i47]Harry Dong, Megna Shah, Sean Donegan, Yuejie Chi
:
Deep Unfolded Tensor Robust PCA with Self-supervised Learning. CoRR abs/2212.11346 (2022) - 2021
- [j43]Yuxin Chen
, Yuejie Chi
, Jianqing Fan
, Cong Ma:
Spectral Methods for Data Science: A Statistical Perspective. Found. Trends Mach. Learn. 14(5): 566-806 (2021) - [j42]Tian Tong, Cong Ma, Yuejie Chi:
Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent. J. Mach. Learn. Res. 22: 150:1-150:63 (2021) - [j41]Maxime Ferreira Da Costa
, Yuejie Chi
:
Compressed Super-Resolution of Positive Sources. IEEE Signal Process. Lett. 28: 56-60 (2021) - [j40]Yuanxin Li, Cong Ma, Yuxin Chen
, Yuejie Chi
:
Nonconvex Matrix Factorization From Rank-One Measurements. IEEE Trans. Inf. Theory 67(3): 1928-1950 (2021) - [j39]Laixi Shi
, Yuejie Chi
:
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently. IEEE Trans. Inf. Theory 67(7): 4784-4811 (2021) - [j38]Cong Ma
, Yuanxin Li, Yuejie Chi
:
Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing. IEEE Trans. Signal Process. 69: 867-877 (2021) - [j37]Tian Tong, Cong Ma
, Yuejie Chi
:
Low-Rank Matrix Recovery With Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number. IEEE Trans. Signal Process. 69: 2396-2409 (2021) - [c61]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Softmax Policy Gradient Methods Can Take Exponential Time to Converge. COLT 2021: 3107-3110 - [c60]Vincent Monardo, Abhiram Iyer, Sean Donegan, Marc De Graef, Yuejie Chi
:
Plug-And-Play Image Reconstruction Meets Stochastic Variance-Reduced Gradient Methods. ICIP 2021: 2868-2872 - [c59]Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi:
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. ICML 2021: 6296-6306 - [c58]Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei:
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. NeurIPS 2021: 16671-16685 - [c57]Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi:
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. NeurIPS 2021: 17762-17776 - [c56]Shicong Cen, Yuting Wei, Yuejie Chi:
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. NeurIPS 2021: 27952-27964 - [i46]Cong Ma, Yuanxin Li, Yuejie Chi:
Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing. CoRR abs/2101.05113 (2021) - [i45]Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi:
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. CoRR abs/2102.06548 (2021) - [i44]