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ORCIDYuxin Chen 0002
Person information
- affiliation: University of Pennsylvania, Wharton School, Philadelphia, PA, USA
- affiliation (former): Princeton University, Department of Electrical Engineering, NJ, USA
- affiliation (former): Stanford University, Department of Statistics, CA, USA
Other persons with the same name
- Yuxin Chen (aka: Yu-Xin Chen, Yu-xin Chen) — disambiguation page
- Yuxin Chen 0001 — University of Chicago, Department of Computer Science, IL, USA (and 2 more)
- Yuxin Chen 0003 (aka: Yuxin (Jerry) Chen) — Virginia Tech, Digital Library Research Lab, Blacksburg, VA, USA
- Yuxin Chen 0004
![[0000-0002-1318-3294]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1318-3294")
— New York University, Leonard N. Stern School of Business, NY, USA (and 1 more) - Yuxin Chen 0005 — ENSTA ParisTech, Palaiseau, France
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Journal Articles
- 2023
[j26]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)- [j25]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) - [j24]Changxiao Cai, H. Vincent Poor, Yuxin Chen:
Uncertainty Quantification for Nonconvex Tensor Completion: Confidence Intervals, Heteroscedasticity and Optimality. IEEE Trans. Inf. Theory 69(1): 407-452 (2023) - [j23]Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan:
The Efficacy of Pessimism in Asynchronous Q-Learning. IEEE Trans. Inf. Theory 69(11): 7185-7219 (2023) - 2022
- [j22]Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen:
Nonconvex Low-Rank Tensor Completion from Noisy Data. Oper. Res. 70(2): 1219-1237 (2022) - [j21]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) - [j20]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) - 2021
- [j19]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) - [j18]Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi:
Nonconvex Matrix Factorization From Rank-One Measurements. IEEE Trans. Inf. Theory 67(3): 1928-1950 (2021) - [j17]Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen:
Learning Mixtures of Low-Rank Models. IEEE Trans. Inf. Theory 67(7): 4613-4636 (2021) - [j16]Chen Cheng, Yuting Wei, Yuxin Chen:
Tackling Small Eigen-Gaps: Fine-Grained Eigenvector Estimation and Inference Under Heteroscedastic Noise. IEEE Trans. Inf. Theory 67(11): 7380-7419 (2021) - 2020
- [j15]Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen:
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution. Found. Comput. Math. 20(3): 451-632 (2020) - [j14]Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi:
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. J. Mach. Learn. Res. 21: 180:1-180:51 (2020) - [j13]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan:
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. SIAM J. Optim. 30(4): 3098-3121 (2020) - 2019
- [j12]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma:
Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval. Math. Program. 176(1-2): 5-37 (2019) - [j11]Yuejie Chi, Yue M. Lu, Yuxin Chen:
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview. IEEE Trans. Signal Process. 67(20): 5239-5269 (2019) - 2017
- [j10]Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar:
On the Minimax Capacity Loss Under Sub-Nyquist Universal Sampling. IEEE Trans. Inf. Theory 63(6): 3348-3367 (2017) - 2016
- [j9]Yuxin Chen, Changho Suh, Andrea J. Goldsmith:
Information Recovery From Pairwise Measurements. IEEE Trans. Inf. Theory 62(10): 5881-5905 (2016) - 2015
- [j8]Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar:
Backing Off From Infinity: Performance Bounds via Concentration of Spectral Measure for Random MIMO Channels. IEEE Trans. Inf. Theory 61(1): 366-387 (2015) - [j7]Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith:
Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming. IEEE Trans. Inf. Theory 61(7): 4034-4059 (2015) - [j6]Yuejie Chi, Yuxin Chen:
Compressive Two-Dimensional Harmonic Retrieval via Atomic Norm Minimization. IEEE Trans. Signal Process. 63(4): 1030-1042 (2015) - 2014
- [j5]Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar:
Channel Capacity Under Sub-Nyquist Nonuniform Sampling. IEEE Trans. Inf. Theory 60(8): 4739-4756 (2014) - [j4]Yuxin Chen, Yuejie Chi:
Robust Spectral Compressed Sensing via Structured Matrix Completion. IEEE Trans. Inf. Theory 60(10): 6576-6601 (2014) - 2013
- [j3]Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews:
On the Role of Mobility for Multimessage Gossip. IEEE Trans. Inf. Theory 59(6): 3953-3970 (2013) - [j2]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Shannon Meets Nyquist: Capacity of Sampled Gaussian Channels. IEEE Trans. Inf. Theory 59(8): 4889-4914 (2013) - 2012
- [j1]Yuxin Chen, Jeffrey G. Andrews:
An Upper Bound on Multihop Transmission Capacity With Dynamic Routing Selection. IEEE Trans. Inf. Theory 58(6): 3751-3765 (2012)
Conference and Workshop Papers
- 2023
- [c36]Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen:
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. NeurIPS 2023 - [c35]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 - 2022
- [c34]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:
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation. ICDM 2022: 598-607 - [c33]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 - [c32]Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen:
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model. NeurIPS 2022 - 2021
- [c31]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Softmax Policy Gradient Methods Can Take Exponential Time to Converge. COLT 2021: 3107-3110 - [c30]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 - [c29]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 - [c28]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 - 2020
- [c27]Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi:
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. AISTATS 2020: 1662-1672 - [c26]Changxiao Cai, H. Vincent Poor, Yuxin Chen:
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality. ICML 2020: 1271-1282 - [c25]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. NeurIPS 2020 - [c24]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. NeurIPS 2020 - 2019
- [c23]Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi:
Nonconvex Matrix Factorization from Rank-One Measurements. AISTATS 2019: 1496-1505 - [c22]Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen:
Nonconvex Low-Rank Tensor Completion from Noisy Data. NeurIPS 2019: 1861-1872 - 2018
- [c21]Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen:
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion. ICML 2018: 3351-3360 - 2016
- [c20]Yuxin Chen, Govinda M. Kamath, Changho Suh, David Tse:
Community Recovery in Graphs with Locality. ICML 2016: 689-698 - 2015
- [c19]Yuxin Chen, Changho Suh:
Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons. ICML 2015: 371-380 - [c18]Yuxin Chen, Changho Suh, Andrea J. Goldsmith:
Information recovery from pairwise measurements: A shannon-theoretic approach. ISIT 2015: 2336-2340 - [c17]Yuxin Chen, Changho Suh:
Top-K ranking: An information-theoretic perspective. ITW Fall 2015: 212-213 - [c16]Yuxin Chen, Emmanuel J. Candès:
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems. NIPS 2015: 739-747 - 2014
- [c15]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
An algorithm for exact super-resolution and phase retrieval. ICASSP 2014: 754-758 - [c14]Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith:
Estimation of simultaneously structured covariance matrices from quadratic measurements. ICASSP 2014: 7669-7673 - [c13]Qi-Xing Huang, Yuxin Chen, Leonidas J. Guibas:
Scalable Semidefinite Relaxation for Maximum A Posterior Estimation. ICML 2014: 64-72 - [c12]Yuxin Chen, Leonidas J. Guibas, Qi-Xing Huang:
Near-Optimal Joint Object Matching via Convex Relaxation. ICML 2014: 100-108 - [c11]Yuxin Chen, Andrea J. Goldsmith:
Information recovery from pairwise measurements. ISIT 2014: 2012-2016 - [c10]Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith:
Robust and universal covariance estimation from quadratic measurements via convex programming. ISIT 2014: 2017-2021 - 2013
- [c9]Yuejie Chi, Yuxin Chen:
Compressive recovery of 2-D off-grid frequencies. ACSSC 2013: 687-691 - [c8]Yuxin Chen, Yuejie Chi:
Spectral Compressed Sensing via Structured Matrix Completion. ICML (3) 2013: 414-422 - [c7]Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar:
Minimax universal sampling for compound multiband channels. ISIT 2013: 1032-1036 - 2012
- [c6]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Channel capacity under general nonuniform sampling. ISIT 2012: 855-859 - 2011
- [c5]Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar:
Shannon meets Nyquist: The interplay between capacity and sampling. Allerton 2011: 1090-1097 - [c4]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Shannon meets Nyquist: Capacity limits of sampled analog channels. ICASSP 2011: 3104-3107 - [c3]Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews:
Sharing multiple messages over mobile networks. INFOCOM 2011: 658-666 - [c2]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Approaching the capacity of sampled analog channels. ITW 2011: 15-19 - 2010
- [c1]Yuxin Chen, Jeffrey G. Andrews:
An upper bound on multi-hop transmission capacity with dynamic routing selection. ISIT 2010: 1718-1722
Informal and Other Publications
- 2024
- [i61]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) - [i60]Zihan Zhang, Jason D. Lee, Yuxin Chen, Simon S. Du:
Horizon-Free Regret for Linear Markov Decision Processes. CoRR abs/2403.10738 (2024) - 2023
- [i59]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) - [i58]Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan:
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning. CoRR abs/2304.07278 (2023) - [i57]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) - [i56]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) - [i55]Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi:
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models. CoRR abs/2306.09251 (2023) - [i54]Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon S. Du:
Settling the Sample Complexity of Online Reinforcement Learning. CoRR abs/2307.13586 (2023) - [i53]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) - [i52]Zihan Zhang, Wenhao Zhan, Yuxin Chen, Simon S. Du, Jason D. Lee:
Optimal Multi-Distribution Learning. CoRR abs/2312.05134 (2023) - 2022
- [i51]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) - [i50]Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan:
The Efficacy of Pessimism in Asynchronous Q-Learning. CoRR abs/2203.07368 (2022) - [i49]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) - [i48]Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan:
Model-Based Reinforcement Learning Is Minimax-Optimal for Offline Zero-Sum Markov Games. CoRR abs/2206.04044 (2022) - [i47]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) - 2021
- [i46]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) - [i45]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Softmax Policy Gradient Methods Can Take Exponential Time to Converge. CoRR abs/2102.11270 (2021) - [i44]Gen Li, Changxiao Cai, Yuantao Gu, H. Vincent Poor, Yuxin Chen:
Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. CoRR abs/2104.03298 (2021) - [i43]Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei:
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. CoRR abs/2105.08024 (2021) - [i42]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. CoRR abs/2105.11066 (2021) - [i41]Yuling Yan, Yuxin Chen, Jianqing Fan:
Inference for Heteroskedastic PCA with Missing Data. CoRR abs/2107.12365 (2021) - [i40]Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi:
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. CoRR abs/2110.04645 (2021) - 2020
- [i39]Chen Cheng, Yuting Wei, Yuxin Chen:
Inference for linear forms of eigenvectors under minimal eigenvalue separation: Asymmetry and heteroscedasticity. CoRR abs/2001.04620 (2020) - [i38]Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan:
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data. CoRR abs/2001.05484 (2020) - [i37]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. CoRR abs/2005.12900 (2020) - [i36]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. CoRR abs/2006.03041 (2020) - [i35]Changxiao Cai, H. Vincent Poor, Yuxin Chen:
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality. CoRR abs/2006.08580 (2020) - [i34]Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi:
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. CoRR abs/2007.06558 (2020) - [i33]Yuxin Chen, Jianqing Fan, Bingyan Wang, Yuling Yan:
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution. CoRR abs/2008.01724 (2020) - [i32]Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen:
Learning Mixtures of Low-Rank Models. CoRR abs/2009.11282 (2020) - [i31]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma:
Spectral Methods for Data Science: A Statistical Perspective. CoRR abs/2012.08496 (2020) - 2019
- [i30]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan:
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. CoRR abs/1902.07698 (2019) - [i29]Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan:
Inference and Uncertainty Quantification for Noisy Matrix Completion. CoRR abs/1906.04159 (2019) - [i28]Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi:
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking. CoRR abs/1909.05844 (2019) - [i27]Changxiao Cai, Gen Li, Yuejie Chi, H. Vincent Poor, Yuxin Chen:
Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁2, ∞ Statistical Guarantees. CoRR abs/1910.04267 (2019) - [i26]Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen:
Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data. CoRR abs/1911.04436 (2019) - 2018
- [i25]Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi:
Nonconvex Matrix Factorization from Rank-One Measurements. CoRR abs/1802.06286 (2018) - [i24]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma:
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval. CoRR abs/1803.07726 (2018) - [i23]Yuejie Chi, Yue M. Lu, Yuxin Chen:
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview. CoRR abs/1809.09573 (2018) - [i22]Yuxin Chen, Chen Cheng, Jianqing Fan:
Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices. CoRR abs/1811.12804 (2018) - 2017
- [i21]Pragya Sur, Yuxin Chen, Emmanuel J. Candès:
The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square. CoRR abs/1706.01191 (2017) - [i20]Yuxin Chen, Jianqing Fan, Cong Ma, Kaizheng Wang:
Spectral Method and Regularized MLE Are Both Optimal for Top-$K$ Ranking. CoRR abs/1707.09971 (2017) - [i19]Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen:
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion and Blind Deconvolution. CoRR abs/1711.10467 (2017) - 2016
- [i18]Yuxin Chen, Govinda M. Kamath, Changho Suh, David N. C. Tse:
Community Recovery in Graphs with Locality. CoRR abs/1602.03828 (2016) - [i17]Yuxin Chen, Emmanuel J. Candès:
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences. CoRR abs/1609.05820 (2016) - 2015
- [i16]Yuxin Chen, Changho Suh, Andrea J. Goldsmith:
Information Recovery from Pairwise Measurements: A Shannon-Theoretic Approach. CoRR abs/1504.01369 (2015) - [i15]Yuxin Chen, Changho Suh:
Spectral MLE: Top-$K$ Rank Aggregation from Pairwise Comparisons. CoRR abs/1504.07218 (2015) - [i14]Yuxin Chen, Emmanuel J. Candès:
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems. CoRR abs/1505.05114 (2015) - 2014
- [i13]Yuxin Chen, Leonidas J. Guibas, Qi-Xing Huang:
Near-Optimal Joint Object Matching via Convex Relaxation. CoRR abs/1402.1473 (2014) - [i12]Qixing Huang, Yuxin Chen, Leonidas J. Guibas:
Scalable Semidefinite Relaxation for Maximum A Posterior Estimation. CoRR abs/1405.4807 (2014) - 2013
- [i11]Yuxin Chen, Yuejie Chi:
Spectral Compressed Sensing via Structured Matrix Completion. CoRR abs/1304.4610 (2013) - [i10]Yuxin Chen, Andrea Goldsmith, Yonina C. Eldar:
Minimax Capacity Loss under Sub-Nyquist Universal Sampling. CoRR abs/1304.7751 (2013) - [i9]Yuxin Chen, Yuejie Chi:
Robust Spectral Compressed Sensing via Structured Matrix Completion. CoRR abs/1304.8126 (2013) - [i8]Yuxin Chen, Yuejie Chi, Andrea Goldsmith:
Exact and Stable Covariance Estimation from Quadratic Sampling via Convex Programming. CoRR abs/1310.0807 (2013) - [i7]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
An Algorithm for Exact Super-resolution and Phase Retrieval. CoRR abs/1310.7552 (2013) - [i6]Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar:
Backing off from Infinity: Tight Performance Bounds for Large Random Vector Channels. CoRR abs/1312.2574 (2013) - 2012
- [i5]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Channel Capacity under General Nonuniform Sampling. CoRR abs/1202.0871 (2012) - [i4]Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews:
On the Role of Mobility for Multi-message Gossip. CoRR abs/1204.3114 (2012) - [i3]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Channel Capacity under Sub-Nyquist Nonuniform Sampling. CoRR abs/1204.6049 (2012) - 2011
- [i2]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Shannon Meets Nyquist: Capacity Limits of Sampled Analog Channels. CoRR abs/1109.5415 (2011) - 2010
- [i1]Yuxin Chen, Jeffrey G. Andrews:
An Upper Bound on Multi-hop Transmission Capacity with Dynamic Multipath Routing. CoRR abs/1004.3714 (2010)
Coauthor Index
[j26] [j25] [j21] [j20] [j19] [j18] [j15] [j14] [j13] [j12] [j11] [j7] [j6] [j4] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c25] [c24] [c23] [c21] [c14] [c10] [c9] [c8] [i61] [i59] [i57] [i56] [i55] [i53] [i51] [i49] [i47] [i46] [i45] [i43] [i42] [i40] [i37] [i36] [i34] [i31] [i30] [i28] [i27] [i25] [i24] [i23] [i19] [i11] [i9] [i8]
Andrea J. Goldsmith
aka: Andrea Goldsmith
aka: Andrea Goldsmith
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last updated on 2024-05-28 23:16 CEST by the dblp team
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