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Yuchen Zhou
Yuchen Zhou
Statistics and Data Science, Wharton School, University of Pennsylvania
Verified email at wharton.upenn.edu - Homepage
Title
Cited by
Cited by
Year
On the non‐asymptotic and sharp lower tail bounds of random variables
AR Zhang, Y Zhou
Stat 9 (1), e314, 2020
642020
Dropout training, data-dependent regularization, and generalization bounds
W Mou, Y Zhou, J Gao, L Wang
International conference on machine learning, 3645-3653, 2018
322018
Low rank approximation of binary matrices: Column subset selection and generalizations
C Dan, KA Hansen, H Jiang, L Wang, Y Zhou
arXiv preprint arXiv:1511.01699, 2015
282015
Sparse group lasso: Optimal sample complexity, convergence rate, and statistical inference
TT Cai, AR Zhang, Y Zhou
IEEE transactions on information theory 68 (9), 5975-6002, 2022
232022
Inference for low-rank tensors—no need to debias
D Xia, AR Zhang, Y Zhou
The Annals of Statistics 50 (2), 1220-1245, 2022
232022
Optimal high-order tensor svd via tensor-train orthogonal iteration
Y Zhou, AR Zhang, L Zheng, Y Wang
IEEE transactions on information theory 68 (6), 3991-4019, 2022
212022
Optimal analysis of subset-selection based l_p low-rank approximation
C Dan, H Wang, H Zhang, Y Zhou, PK Ravikumar
Advances in Neural Information Processing Systems 32, 2019
172019
High-dimensional log-error-in-variable regression with applications to microbial compositional data analysis
P Shi, Y Zhou, AR Zhang
Biometrika 109 (2), 405-420, 2022
142022
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA
Y Zhou, Y Chen
arXiv preprint arXiv:2303.06198, 2023
92023
Heteroskedastic tensor clustering
Y Zhou, Y Chen
arXiv preprint arXiv:2311.02306 3, 2023
42023
High-Dimensional Inference for Low-Dimensional Structures: Double Sparse Vectors and Low-Rank Tensors
Y Zhou
The University of Wisconsin-Madison, 2021
22021
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Articles 1–11