Yuxin Chen - RankMe

150 papers A* 28A 3B 7Misc 4Journal 104Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Learning Dynamics of RLVR at the Edge of Competence. CoRR Yu Huang, Zixin Wen, Yuejie Chi, Yuting Wei, Aarti Singh, Yingbin Liang, Yuxin Chen
2026	J	`jnl`	Preconditioning Benefits of Spectral Orthogonalization in Muon. CoRR Jianhao Ma, Yu Huang, Yuejie Chi, Yuxin Chen
2025	A*	`conf`	Anytime Acceleration of Gradient Descent. COLT Zihan Zhang, Jason D. Lee, Simon S. Du, Yuxin Chen
2025	J	`jnl`	Connections between reinforcement learning with feedback,test-time scaling, and diffusion guidance: An anthology. CoRR Yuchen Jiao, Yuxin Chen, Gen Li
2025	J	`jnl`	Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. SIAM J. Optim. Gen Li, Yanxi Chen, Yu Huang, Yuejie Chi, H. Vincent Poor, Yuxin Chen
2025	J	`jnl`	Faster Diffusion Models via Higher-Order Approximation. CoRR Gen Li, Yuchen Zhou, Yuting Wei, Yuxin Chen
2025	J	`jnl`	Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. IEEE Trans. Inf. Theory Gen Li, Changxiao Cai, H. Vincent Poor, Yuxin Chen
2025	A*	`conf`	Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback. ICML Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon Shaolei Du, Ruosong Wang
2025	J	`jnl`	MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation. CoRR Xiangjin Xie, Yuxin Chen, Ruipeng Wang, Kai Ouyang, Zihan Zhang, Hai-Tao Zheng, Buyue Qian, Hansen Zheng, Bo Hu, Chengxiang Zhuo, Zang Li
2025	J	`jnl`	Optimal Multi-Distribution Learning. J. ACM Zihan Zhang, Wenhao Zhan, Yuxin Chen, Simon S. Du, Jason D. Lee
2025	J	`jnl`	Settling the Sample Complexity of Online Reinforcement Learning. J. ACM Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon S. Du
2025	J	`jnl`	Statistical and Algorithmic Foundations of Reinforcement Learning. CoRR Yuejie Chi, Yuxin Chen, Yuting Wei
2025	J	`jnl`	Transformers Meet In-Context Learning: A Universal Approximation Theory. CoRR Gen Li, Yuchen Jiao, Yu Huang, Yuting Wei, Yuxin Chen
2025	J	`jnl`	Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization. CoRR Yu Huang, Zixin Wen, Aarti Singh, Yuejie Chi, Yuxin Chen
2024	J	`jnl`	A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	A*	`conf`	Accelerating Convergence of Score-Based Diffusion Models, Provably. ICML Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	J	`jnl`	Accelerating Convergence of Score-Based Diffusion Models, Provably. CoRR Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	J	`jnl`	Anytime Acceleration of Gradient Descent. CoRR Zihan Zhang, Jason D. Lee, Simon S. Du, Yuxin Chen
2024	J	`jnl`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. Oper. Res. Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	A*	`conf`	Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning. NeurIPS Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
2024	A*	`conf`	Horizon-Free Regret for Linear Markov Decision Processes. ICLR Zihan Zhang, Jason D. Lee, Yuxin Chen, Simon Shaolei Du
2024	J	`jnl`	Horizon-Free Regret for Linear Markov Decision Processes. CoRR Zihan Zhang, Jason D. Lee, Yuxin Chen, Simon S. Du
2024	J	`jnl`	Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis. Oper. Res. Gen Li, Changxiao Cai, Yuxin Chen, Yuting Wei, Yuejie Chi
2024	A*	`conf`	Minimax-optimal reward-agnostic exploration in reinforcement learning. COLT Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan
2024	J	`jnl`	Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games. Oper. Res. Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
2024	A*	`conf`	Optimal Multi-Distribution Learning. COLT Zihan Zhang, Wenhao Zhan, Yuxin Chen, Simon S. Du, Jason D. Lee
2024	A*	`conf`	Settling the sample complexity of online reinforcement learning. COLT Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon S. Du
2024	A*	`conf`	Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models. ICLR Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2023	A	`conf`	Embedding Transfer with Enhanced Correlation Modeling for Cross-Domain Recommendation. SDM Shilei Cao, Yujie Lin, Xianli Zhang, Yufu Chen, Zhen Zhu, Yuxin Chen, Buyue Qian, Feng Wang, Zang Li
2023	J	`jnl`	Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. CoRR Gen Li, Yanxi Chen, Yuejie Chi, H. Vincent Poor, Yuxin Chen
2023	J	`jnl`	Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning. CoRR Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
2023	J	`jnl`	Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning. CoRR Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan
2023	J	`jnl`	Optimal Multi-Distribution Learning. CoRR Zihan Zhang, Wenhao Zhan, Yuxin Chen, Simon S. Du, Jason D. Lee
2023	J	`jnl`	Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. SIAM J. Optim. Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi
2023	A*	`conf`	Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. NeurIPS Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen
2023	J	`jnl`	Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. CoRR Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen
2023	J	`jnl`	Settling the Sample Complexity of Online Reinforcement Learning. CoRR Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon S. Du
2023	J	`jnl`	Softmax policy gradient methods can take exponential time to converge. Math. Program. Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
2023	A*	`conf`	The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. NeurIPS Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
2023	J	`jnl`	The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. CoRR Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
2023	J	`jnl`	The Efficacy of Pessimism in Asynchronous Q-Learning. IEEE Trans. Inf. Theory Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
2023	J	`jnl`	Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models. CoRR Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2023	J	`jnl`	Uncertainty Quantification for Nonconvex Tensor Completion: Confidence Intervals, Heteroscedasticity and Optimality. IEEE Trans. Inf. Theory Changxiao Cai, H. Vincent Poor, Yuxin Chen
2022	J	`jnl`	Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. Oper. Res. Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi
2022	A*	`conf`	Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model. NeurIPS Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen
2022	J	`jnl`	Minimax-Optimal Multi-Agent RL in Zero-Sum Markov Games With a Generative Model. CoRR Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen
2022	A*	`conf`	MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation. ICDM Xiangjin Xie, Yuxin Chen, Ruipeng Wang, Xianli Zhang, Shilei Cao, Kai Ouyang, Zihan Zhang, Hai-Tao Zheng, Buyue Qian, Hansen Zheng, Bo Hu, Chengxiang Zhuo, Zang Li
2022	J	`jnl`	Model-Based Reinforcement Learning Is Minimax-Optimal for Offline Zero-Sum Markov Games. CoRR Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
2022	J	`jnl`	Nonconvex Low-Rank Tensor Completion from Noisy Data. Oper. Res. Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen
2022	A*	`conf`	Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. ICML Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2022	J	`jnl`	Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. CoRR Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2022	J	`jnl`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. IEEE Trans. Inf. Theory Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2022	J	`jnl`	Settling the Sample Complexity of Model-Based Offline Reinforcement Learning. CoRR Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi, Yuting Wei
2022	J	`jnl`	The Efficacy of Pessimism in Asynchronous Q-Learning. CoRR Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
2021	A*	`conf`	Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. NeurIPS Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
2021	J	`jnl`	Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. CoRR Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
2021	J	`jnl`	Inference for Heteroskedastic PCA with Missing Data. CoRR Yuling Yan, Yuxin Chen, Jianqing Fan
2021	J	`jnl`	Learning Mixtures of Low-Rank Models. IEEE Trans. Inf. Theory Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen
2021	J	`jnl`	Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. CoRR Gen Li, Changxiao Cai, Yuantao Gu, H. Vincent Poor, Yuxin Chen
2021	J	`jnl`	Nonconvex Matrix Factorization From Rank-One Measurements. IEEE Trans. Inf. Theory Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi
2021	J	`jnl`	Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. CoRR Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi
2021	A*	`conf`	Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. NeurIPS Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
2021	J	`jnl`	Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. CoRR Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
2021	A*	`conf`	Softmax Policy Gradient Methods Can Take Exponential Time to Converge. COLT Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2021	J	`jnl`	Softmax Policy Gradient Methods Can Take Exponential Time to Converge. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2021	J	`jnl`	Spectral Methods for Data Science: A Statistical Perspective. Found. Trends Mach. Learn. Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2021	J	`jnl`	Tackling Small Eigen-Gaps: Fine-Grained Eigenvector Estimation and Inference Under Heteroscedastic Noise. IEEE Trans. Inf. Theory Chen Cheng, Yuting Wei, Yuxin Chen
2021	A*	`conf`	Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. ICML Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
2021	J	`jnl`	Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. CoRR Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
2020	A*	`conf`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. NeurIPS Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data. CoRR Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan
2020	A	`conf`	Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. AISTATS Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
2020	J	`jnl`	Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. J. Mach. Learn. Res. Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
2020	J	`jnl`	Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution. CoRR Yuxin Chen, Jianqing Fan, Bingyan Wang, Yuling Yan
2020	J	`jnl`	Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. CoRR Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi
2020	J	`jnl`	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution. Found. Comput. Math. Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2020	J	`jnl`	Inference for linear forms of eigenvectors under minimal eigenvalue separation: Asymmetry and heteroscedasticity. CoRR Chen Cheng, Yuting Wei, Yuxin Chen
2020	J	`jnl`	Learning Mixtures of Low-Rank Models. CoRR Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen
2020	J	`jnl`	Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. SIAM J. Optim. Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan
2020	A*	`conf`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. NeurIPS Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Spectral Methods for Data Science: A Statistical Perspective. CoRR Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2020	A*	`conf`	Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality. ICML Changxiao Cai, H. Vincent Poor, Yuxin Chen
2020	J	`jnl`	Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality. CoRR Changxiao Cai, H. Vincent Poor, Yuxin Chen
2019	J	`jnl`	Communication-Efficient Distributed Optimization in Networks with Gradient Tracking. CoRR Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
2019	J	`jnl`	Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval. Math. Program. Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2019	J	`jnl`	Inference and Uncertainty Quantification for Noisy Matrix Completion. CoRR Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan
2019	J	`jnl`	Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. CoRR Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan
2019	J	`jnl`	Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data. CoRR Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen
2019	A*	`conf`	Nonconvex Low-Rank Tensor Completion from Noisy Data. NeurIPS Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen
2019	A	`conf`	Nonconvex Matrix Factorization from Rank-One Measurements. AISTATS Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi
2019	J	`jnl`	Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview. IEEE Trans. Signal Process. Yuejie Chi, Yue M. Lu, Yuxin Chen
2019	J	`jnl`	Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁 CoRR Changxiao Cai, Gen Li, Yuejie Chi, H. Vincent Poor, Yuxin Chen
2018	J	`jnl`	Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices. CoRR Yuxin Chen, Chen Cheng, Jianqing Fan
2018	J	`jnl`	Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval. CoRR Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2018	A*	`conf`	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion. ICML Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2018	J	`jnl`	Nonconvex Matrix Factorization from Rank-One Measurements. CoRR Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi
2018	J	`jnl`	Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview. CoRR Yuejie Chi, Yue M. Lu, Yuxin Chen
2017	J	`jnl`	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion and Blind Deconvolution. CoRR Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2017	J	`jnl`	On the Minimax Capacity Loss Under Sub-Nyquist Universal Sampling. IEEE Trans. Inf. Theory Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar
2017	J	`jnl`	Spectral Method and Regularized MLE Are Both Optimal for Top-$K$ Ranking. CoRR Yuxin Chen, Jianqing Fan, Cong Ma, Kaizheng Wang
2017	J	`jnl`	The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square. CoRR Pragya Sur, Yuxin Chen, Emmanuel J. Candès
2016	A*	`conf`	Community Recovery in Graphs with Locality. ICML Yuxin Chen, Govinda M. Kamath, Changho Suh, David Tse
2016	J	`jnl`	Community Recovery in Graphs with Locality. CoRR Yuxin Chen, Govinda M. Kamath, Changho Suh, David N. C. Tse
2016	J	`jnl`	Information Recovery From Pairwise Measurements. IEEE Trans. Inf. Theory Yuxin Chen, Changho Suh, Andrea J. Goldsmith
2016	J	`jnl`	The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences. CoRR Yuxin Chen, Emmanuel J. Candès
2015	J	`jnl`	Backing Off From Infinity: Performance Bounds via Concentration of Spectral Measure for Random MIMO Channels. IEEE Trans. Inf. Theory Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar
2015	J	`jnl`	Compressive Two-Dimensional Harmonic Retrieval via Atomic Norm Minimization. IEEE Trans. Signal Process. Yuejie Chi, Yuxin Chen
2015	J	`jnl`	Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming. IEEE Trans. Inf. Theory Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith
2015	J	`jnl`	Information Recovery from Pairwise Measurements: A Shannon-Theoretic Approach. CoRR Yuxin Chen, Changho Suh, Andrea J. Goldsmith
2015	B	`conf`	Information recovery from pairwise measurements: A shannon-theoretic approach. ISIT Yuxin Chen, Changho Suh, Andrea J. Goldsmith
2015	—	`conf`	Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems. NIPS Yuxin Chen, Emmanuel J. Candès
2015	J	`jnl`	Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems. CoRR Yuxin Chen, Emmanuel J. Candès
2015	J	`jnl`	Spectral MLE: Top-$K$ Rank Aggregation from Pairwise Comparisons. CoRR Yuxin Chen, Changho Suh
2015	A*	`conf`	Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons. ICML Yuxin Chen, Changho Suh
2015	—	`conf`	Top-K ranking: An information-theoretic perspective. ITW Fall Yuxin Chen, Changho Suh
2014	Misc	`conf`	An algorithm for exact super-resolution and phase retrieval. ICASSP Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith
2014	J	`jnl`	Channel Capacity Under Sub-Nyquist Nonuniform Sampling. IEEE Trans. Inf. Theory Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar
2014	Misc	`conf`	Estimation of simultaneously structured covariance matrices from quadratic measurements. ICASSP Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith
2014	B	`conf`	Information recovery from pairwise measurements. ISIT Yuxin Chen, Andrea J. Goldsmith
2014	A*	`conf`	Near-Optimal Joint Object Matching via Convex Relaxation. ICML Yuxin Chen, Leonidas J. Guibas, Qi-Xing Huang
2014	J	`jnl`	Near-Optimal Joint Object Matching via Convex Relaxation. CoRR Yuxin Chen, Leonidas J. Guibas, Qi-Xing Huang
2014	J	`jnl`	Robust Spectral Compressed Sensing via Structured Matrix Completion. IEEE Trans. Inf. Theory Yuxin Chen, Yuejie Chi
2014	B	`conf`	Robust and universal covariance estimation from quadratic measurements via convex programming. ISIT Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith
2014	A*	`conf`	Scalable Semidefinite Relaxation for Maximum A Posterior Estimation. ICML Qi-Xing Huang, Yuxin Chen, Leonidas J. Guibas
2014	J	`jnl`	Scalable Semidefinite Relaxation for Maximum A Posterior Estimation. CoRR Qixing Huang, Yuxin Chen, Leonidas J. Guibas
2013	J	`jnl`	An Algorithm for Exact Super-resolution and Phase Retrieval. CoRR Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith
2013	J	`jnl`	Backing off from Infinity: Tight Performance Bounds for Large Random Vector Channels. CoRR Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar
2013	Misc	`conf`	Compressive recovery of 2-D off-grid frequencies. ACSSC Yuejie Chi, Yuxin Chen
2013	J	`jnl`	Exact and Stable Covariance Estimation from Quadratic Sampling via Convex Programming. CoRR Yuxin Chen, Yuejie Chi, Andrea Goldsmith
2013	J	`jnl`	Minimax Capacity Loss under Sub-Nyquist Universal Sampling CoRR Yuxin Chen, Andrea Goldsmith, Yonina C. Eldar
2013	B	`conf`	Minimax universal sampling for compound multiband channels. ISIT Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar
2013	J	`jnl`	On the Role of Mobility for Multimessage Gossip. IEEE Trans. Inf. Theory Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews
2013	J	`jnl`	Robust Spectral Compressed Sensing via Structured Matrix Completion CoRR Yuxin Chen, Yuejie Chi
2013	J	`jnl`	Shannon Meets Nyquist: Capacity of Sampled Gaussian Channels. IEEE Trans. Inf. Theory Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith
2013	J	`jnl`	Spectral Compressed Sensing via Structured Matrix Completion CoRR Yuxin Chen, Yuejie Chi
2013	—	`conf`	Spectral Compressed Sensing via Structured Matrix Completion. ICML (3) Yuxin Chen, Yuejie Chi
2012	J	`jnl`	An Upper Bound on Multihop Transmission Capacity With Dynamic Routing Selection. IEEE Trans. Inf. Theory Yuxin Chen, Jeffrey G. Andrews
2012	J	`jnl`	Channel Capacity under General Nonuniform Sampling CoRR Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith
2012	J	`jnl`	Channel Capacity under Sub-Nyquist Nonuniform Sampling CoRR Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith
2012	B	`conf`	Channel capacity under general nonuniform sampling. ISIT Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith
2012	J	`jnl`	On the Role of Mobility for Multi-message Gossip CoRR Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews
2011	B	`conf`	Approaching the capacity of sampled analog channels. ITW Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith
2011	J	`jnl`	Shannon Meets Nyquist: Capacity Limits of Sampled Analog Channels CoRR Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith
2011	Misc	`conf`	Shannon meets Nyquist: Capacity limits of sampled analog channels. ICASSP Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith
2011	—	`conf`	Shannon meets Nyquist: The interplay between capacity and sampling. Allerton Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar
2011	A*	`conf`	Sharing multiple messages over mobile networks. INFOCOM Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews
2010	J	`jnl`	An Upper Bound on Multi-hop Transmission Capacity with Dynamic Multipath Routing CoRR Yuxin Chen, Jeffrey G. Andrews
2010	B	`conf`	An upper bound on multi-hop transmission capacity with dynamic routing selection. ISIT Yuxin Chen, Jeffrey G. Andrews