| 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, 1-182, 2020 | 431* | 2020 |
| Bridging offline reinforcement learning and imitation learning: A tale of pessimism P Rashidinejad, B Zhu, C Ma, J Jiao, S Russell Advances in Neural Information Processing Systems 34, 11702-11716, 2021 | 335 | 2021 |
| 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 | 292 | 2019 |
| 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 | 249* | 2021 |
| A selective overview of deep learning J Fan, C Ma, Y Zhong Statistical science: a review journal of the Institute of Mathematical …, 2020 | 234 | 2020 |
| 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 | 199* | 2020 |
| Spectral method and regularized MLE are both optimal for top-K ranking Y Chen, J Fan, C Ma, K Wang Annals of statistics 47 (4), 2204, 2019 | 171 | 2019 |
| 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 | 169 | 2019 |
| Jump-start reinforcement learning I Uchendu, T Xiao, Y Lu, B Zhu, M Yan, J Simon, M Bennice, C Fu, C Ma, ... International Conference on Machine Learning, 34556-34583, 2023 | 130 | 2023 |
| Accelerating ill-conditioned low-rank matrix estimation via scaled gradient descent T Tong, C Ma, Y Chi The Journal of Machine Learning Research 22 (1), 6639-6701, 2021 | 127 | 2021 |
| Panther: Fast top-k similarity search on large networks J Zhang, J Tang, C Ma, H Tong, Y Jing, J Li Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 93* | 2015 |
| Bridging convex and nonconvex optimization in robust PCA: Noise, outliers, and missing data Y Chen, J Fan, C Ma, Y Yan Annals of statistics 49 (5), 2948, 2021 | 81 | 2021 |
| Nonconvex matrix factorization from rank-one measurements Y Li, C Ma, Y Chen, Y Chi The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 64 | 2019 |
| Low-rank matrix recovery with scaled subgradient methods: Fast and robust convergence without the condition number T Tong, C Ma, Y Chi IEEE Transactions on Signal Processing 69, 2396-2409, 2021 | 63 | 2021 |
| Scaling and scalability: Provable nonconvex low-rank tensor estimation from incomplete measurements T Tong, C Ma, A Prater-Bennette, E Tripp, Y Chi The Journal of Machine Learning Research 23 (1), 7312-7388, 2022 | 53 | 2022 |
| Optimally tackling covariate shift in RKHS-based nonparametric regression C Ma, R Pathak, MJ Wainwright The Annals of Statistics 51 (2), 738-761, 2023 | 47 | 2023 |
| Beyond Procrustes: Balancing-free gradient descent for asymmetric low-rank matrix sensing C Ma, Y Li, Y Chi IEEE Transactions on Signal Processing 69, 867-877, 2021 | 44 | 2021 |
| The power of preconditioning in overparameterized low-rank matrix sensing X Xu, Y Shen, Y Chi, C Ma International Conference on Machine Learning, 38611-38654, 2023 | 43 | 2023 |
| A new similarity measure for covariate shift with applications to nonparametric regression R Pathak, C Ma, M Wainwright International Conference on Machine Learning, 17517-17530, 2022 | 42 | 2022 |
| Pessimism for Offline Linear Contextual Bandits using Confidence Sets G Li, C Ma, N Srebro Advances in Neural Information Processing Systems 35, 20974-20987, 2022 | 23 | 2022 |
Yuxin ChenUniversity of Pennsylvania確認したメール アドレス: wharton.upenn.edu