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Jingyang LI
Jingyang LI
Bestätigte E-Mail-Adresse bei umich.edu - Startseite
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Zitiert von
Zitiert von
Jahr
Generalized low-rank plus sparse tensor estimation by fast Riemannian optimization
JF Cai, J Li, D Xia
Journal of the American Statistical Association 118 (544), 2588-2604, 2023
432023
Provable tensor-train format tensor completion by riemannian optimization
JF Cai, J Li, D Xia
Journal of Machine Learning Research 23 (123), 1-77, 2022
312022
Computationally efficient and statistically optimal robust low-rank matrix estimation
Y Shen, J Li, JF Cai, D Xia
arXiv preprint arXiv:2203.00953 2328, 2022
132022
Image restoration: structured low rank matrix framework for piecewise smooth functions and beyond
JF Cai, JK Choi, J Li, K Wei
Applied and Computational Harmonic Analysis 56, 26-60, 2022
102022
Online tensor learning: Computational and statistical trade-offs, adaptivity and optimal regret
J Li, JF Cai, Y Chen, D Xia
arXiv preprint arXiv:2306.03372, 2023
62023
Computationally efficient and statistically optimal robust high-dimensional linear regression
Y Shen, J Li, JF Cai, D Xia
arXiv preprint arXiv:2305.06199, 2023
62023
Provable sample-efficient sparse phase retrieval initialized by truncated power method
JF Cai, J Li, J You
Inverse Problems 39 (7), 075008, 2023
52023
Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
J Li, TT Cai, D Xia, AR Zhang
arXiv preprint arXiv:2411.15660, 2024
2024
Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion
JF Cai, JK Choi, J Li, G Yin
SIAM Journal on Imaging Sciences 17 (3), 1879-1908, 2024
2024
Online Policy Learning and Inference by Matrix Completion
C Duan, J Li, D Xia
arXiv preprint arXiv:2404.17398, 2024
2024
Statistically Optimal and Computationally Efficient Tensor Estimation: Riemannian Optimization
J Li
PQDT-Global, 2023
2023
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