Követés
Changxiao Cai
Changxiao Cai
E-mail megerősítve itt: umich.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Nonconvex low-rank tensor completion from noisy data
C Cai, G Li, HV Poor, Y Chen
Operations Research 70 (2), 1219-1237, 2022
1072022
Is Q-learning minimax optimal? a tight sample complexity analysis
G Li, C Cai, Y Chen, Y Wei, Y Chi
Operations Research 72 (1), 222-236, 2024
742024
Subspace estimation from unbalanced and incomplete data matrices: ℓ 2,∞ statistical guarantees
C Cai, G Li, Y Chi, HV Poor, Y Chen
The Annals of Statistics 49 (2), 944-967, 2021
682021
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
C Cai, HV Poor, Y Chen
IEEE Transactions on Information Theory 69 (1), 407-452, 2023
372023
Structured low-rank matrix factorization for haplotype assembly
C Cai, S Sanghavi, H Vikalo
IEEE Journal of Selected Topics in Signal Processing 10 (4), 647-657, 2016
292016
Conditional Rényi divergence saddlepoint and the maximization of α-mutual information
C Cai, S Verdú
Entropy 21 (10), 969--993, 2019
242019
Tightening the dependence on horizon in the sample complexity of Q-learning
G Li, C Cai, Y Chen, Y Gu, Y Wei, Y Chi
International Conference on Machine Learning, 6296-6306, 2021
162021
Minimax estimation of linear functions of eigenvectors in the face of small eigen-gaps
G Li, C Cai, HV Poor, Y Chen
arXiv preprint arXiv:2104.03298, 2021
62021
Transfer learning for contextual multi-armed bandits
C Cai, TT Cai, H Li
The Annals of Statistics 52 (1), 207-232, 2024
52024
Efficient Estimation and Inference in Nonconvex Low-Complexity Models
C Cai
Princeton University, 2021
2021
Structurally-constrained gradient descent for matrix factorization in haplotype assembly problems
C Cai, S Sanghavi, H Vikalo
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
2016
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–11