Chen Cheng
Chen Cheng
PhD Student in Statistics, Stanford University
E-mail megerősítve itt: stanford.edu - Kezdőlap
Hivatkozott rá
Hivatkozott rá
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
Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices
Y Chen, C Cheng, J Fan
The Annals of Statistics 49 (1), 435-438, 2021
The high-dimensional asymptotics of first order methods with random data
M Celentano, C Cheng, A Montanari
arXiv preprint arXiv:2112.07572, 2021
Tackling Small Eigen-gaps: Fine-Grained Eigenvector Estimation and Inference under Heteroscedastic Noise
C Cheng, Y Wei, Y Chen
IEEE Transactions on Information Theory, 2021
Dimension free ridge regression
C Cheng, A Montanari
arXiv preprint arXiv:2210.08571, 2022
Memorize to Generalize: on the Necessity of Interpolation in High Dimensional Linear Regression
C Cheng, J Duchi, R Kuditipudi
The 35th Annual Conference on Learning Theory (COLT 2022), 2022
How many labelers do you have? A closer look at gold-standard labels
C Cheng, H Asi, J Duchi
arXiv preprint arXiv:2206.12041, 2022
Collaboratively Learning Linear Models with Structured Missing Data
C Cheng, G Cheng, JC Duchi
Advances in Neural Information Processing Systems 36, 2024
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Cikkek 1–8