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Yuxin Chen
Yuxin Chen
Statistics and Data Science, Wharton School, University of Pennsylvania
Verified email at wharton.upenn.edu - Homepage
Title
Cited by
Cited by
Year
Solving random quadratic systems of equations is nearly as easy as solving linear systems
Y Chen, EJ Candès
Communications on pure and applied mathematics 70 (5), 822-883, 2017
5492017
Nonconvex optimization meets low-rank matrix factorization: An overview
Y Chi, YM Lu, Y Chen
IEEE Transactions on Signal Processing 67 (20), 5239-5269, 2019
3152019
Robust spectral compressed sensing via structured matrix completion
Y Chen, Y Chi
IEEE Transactions on Information Theory 60 (10), 6576-6601, 2014
294*2014
Implicit regularization in nonconvex statistical estimation: Gradient descent converges linearly for phase retrieval, matrix completion, and blind deconvolution
C Ma, K Wang, Y Chi, Y Chen
Foundations of Computational Mathematics 20 (3), 451-632, 2020
282*2020
Exact and stable covariance estimation from quadratic sampling via convex programming
Y Chen, Y Chi, AJ Goldsmith
IEEE Transactions on Information Theory 61 (7), 4034-4059, 2015
2082015
Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval
Y Chen, Y Chi, J Fan, C Ma
Mathematical Programming 176 (1-2), 5-37, 2019
1822019
Compressive two-dimensional harmonic retrieval via atomic norm minimization
Y Chi, Y Chen
IEEE Transactions on Signal Processing 63 (4), 1030-1042, 2014
1712014
Spectral MLE: Top-k rank aggregation from pairwise comparisons
Y Chen, C Suh
International Conference on Machine Learning, 371-380, 2015
1492015
Near-optimal joint object matching via convex relaxation
Y Chen, LJ Guibas, QX Huang
International Conference on Machine Learning, 2014
1302014
The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square
P Sur, Y Chen, EJ Candès
Probability Theory and Related Fields 175 (1-2), 487-558, 2019
1152019
Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices
H Monajemi, S Jafarpour, M Gavish, DL Donoho, SCME Collaboration
Proceedings of the National Academy of Sciences 110 (4), 1181-1186, 2013
1092013
Spectral method and regularized MLE are both optimal for top- ranking
Y Chen, J Fan, C Ma, K Wang
The Annals of Statistics 47 (4), 2204-2235, 2019
1052019
The projected power method: An efficient algorithm for joint alignment from pairwise differences
Y Chen, EJ Candès
Communications on Pure and Applied Mathematics 71 (8), 1648-1714, 2018
932018
Noisy matrix completion: Understanding statistical guarantees for convex relaxation via nonconvex optimization
Y Chen, Y Chi, J Fan, C Ma, Y Yan
SIAM Journal on Optimization 30 (4), 3098-3121, 2020
88*2020
Inference and uncertainty quantification for noisy matrix completion
Y Chen, J Fan, C Ma, Y Yan
Proceedings of the National Academy of Sciences 116 (46), 22931-22937, 2019
852019
Fast global convergence of natural policy gradient methods with entropy regularization
S Cen, C Cheng, Y Chen, Y Wei, Y Chi
Operations Research 70 (4), 2563-2578, 2022
822022
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
G Li, Y Wei, Y Chi, Y Gu, Y Chen
arXiv preprint arXiv:2005.12900, 2020
672020
Spectral Methods for Data Science: A Statistical Perspective
Y Chen, Y Chi, J Fan, C Ma
Foundations and Trends® in Machine Learning 14 (5), 566-806, 2021
65*2021
Information recovery from pairwise measurements
Y Chen, C Suh, AJ Goldsmith
IEEE Transactions on Information Theory 62 (10), 5881-5905, 2016
632016
Nonconvex low-rank tensor completion from noisy data
C Cai, G Li, HV Poor, Y Chen
Operations Research 70 (2), 1219-1237, 2022
602022
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