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Yuejie Chi
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Cited by
Year
Sensitivity to basis mismatch in compressed sensing
Y Chi, LL Scharf, A Pezeshki, AR Calderbank
IEEE Transactions on Signal Processing 59 (5), 2182-2195, 2011
8752011
Robust spectral compressed sensing via structured matrix completion
Y Chen, Y Chi
IEEE Transactions on Information Theory 60, 6576-6601, 2014
281*2014
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
2792019
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, 451-632, 2018
253*2018
Off-the-grid line spectrum denoising and estimation with multiple measurement vectors
Y Li, Y Chi
IEEE Transactions on Signal Processing 64 (5), 1257-1269, 2015
2092015
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
2072015
Gradient descent with random initialization: Fast global convergence for nonconvex phase retrieval
Y Chen, Y Chi, J Fan, C Ma
Mathematical Programming 176 (1), 5-37, 2019
1732019
Compressive two-dimensional harmonic retrieval via atomic norm minimization
Y Chi, Y Chen
IEEE Transactions on Signal Processing 63 (4), 1030-1042, 2014
1652014
Petrels: Parallel subspace estimation and tracking by recursive least squares from partial observations
Y Chi, YC Eldar, R Calderbank
IEEE Transactions on Signal Processing 61 (23), 5947-5959, 2013
1552013
Harnessing structures in big data via guaranteed low-rank matrix estimation: Recent theory and fast algorithms via convex and nonconvex optimization
Y Chen, Y Chi
IEEE Signal Processing Magazine 35 (4), 14-31, 2018
1212018
Guaranteed blind sparse spikes deconvolution via lifting and convex optimization
Y Chi
IEEE Journal of Selected Topics in Signal Processing 10 (4), 782-794, 2016
1162016
A nonconvex approach for phase retrieval: Reshaped Wirtinger flow and incremental algorithms
H Zhang, Y Zhou, Y Liang, Y Chi
Journal of Machine Learning Research 18, 1-35, 2017
114*2017
Provable non-convex phase retrieval with outliers: Median truncated Wirtinger flow
H Zhang, Y Chi, Y Liang
International conference on machine learning, 1022-1031, 2016
992016
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
82*2020
Classification and boosting with multiple collaborative representations
Y Chi, F Porikli
IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (8), 1519-1531, 2013
762013
Harnessing sparsity over the continuum: Atomic norm minimization for superresolution
Y Chi, MF Da Costa
IEEE Signal Processing Magazine 37 (2), 39-57, 2020
672020
Streaming PCA and subspace tracking: The missing data case
L Balzano, Y Chi, YM Lu
Proceedings of the IEEE 106 (8), 1293-1310, 2018
672018
Fast global convergence of natural policy gradient methods with entropy regularization
S Cen, C Cheng, Y Chen, Y Wei, Y Chi
Operations Research, 2021
632021
Breaking the sample size barrier in model-based reinforcement learning with a generative model
G Li, Y Wei, Y Chi, Y Gu, Y Chen
Advances in Neural Information Processing Systems 33, 2020
542020
Communication-efficient distributed optimization in networks with gradient tracking and variance reduction
B Li, S Cen, Y Chen, Y Chi
Journal of Machine Learning Research 21, 1-51, 2020
53*2020
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Articles 1–20