| 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 | 1065 | 2011 |
| 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 | 507 | 2019 |
| 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, 2020 | 421* | 2020 |
| Robust spectral compressed sensing via structured matrix completion Y Chen, Y Chi IEEE Transactions on Information Theory 60, 6576-6601, 2014 | 362* | 2014 |
| 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 | 331* | 2015 |
| 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 | 294 | 2019 |
| 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 | 284 | 2015 |
| Compressive two-dimensional harmonic retrieval via atomic norm minimization Y Chi, Y Chen IEEE Transactions on Signal Processing 63 (4), 1030-1042, 2014 | 249* | 2014 |
| 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 | 227 | 2022 |
| 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 | 226* | 2021 |
| 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 | 209* | 2013 |
| 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 | 192* | 2020 |
| 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 | 187 | 2018 |
| 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 | 181* | 2017 |
| Harnessing sparsity over the continuum: Atomic norm minimization for superresolution Y Chi, MF Da Costa IEEE Signal Processing Magazine 37 (2), 39-57, 2020 | 160 | 2020 |
| Median-truncated nonconvex approach for phase retrieval with outliers H Zhang, Y Chi, Y Liang IEEE Transactions on information Theory 64 (11), 7287-7310, 2018 | 158* | 2018 |
| Breaking the sample size barrier in model-based reinforcement learning with a generative model G Li, Y Wei, Y Chi, Y Chen Operations Research 72 (1), 203-221, 2024 | 148* | 2024 |
| 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 | 143 | 2016 |
| Communication-efficient distributed optimization in networks with gradient tracking and variance reduction B Li, S Cen, Y Chen, Y Chi The Journal of Machine Learning Research 21 (1), 7331-7381, 2020 | 135* | 2020 |
| Sample complexity of asynchronous Q-learning: Sharper analysis and variance reduction G Li, Y Wei, Y Chi, Y Gu, Y Chen IEEE Transactions on Information Theory 68 (1), 448-473, 2021 | 131 | 2021 |
Yuxin ChenUniversity of Pennsylvania在 wharton.upenn.edu 的电子邮件经过验证
