Παρακολούθηση
Ye Tian
Ye Tian
Ph.D. Student in Statistics, Columbia University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα columbia.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Transfer learning under high-dimensional generalized linear models
Y Tian, Y Feng
Journal of the American Statistical Association 118 (544), 2684-2697, 2023
742023
RaSE: Random subspace ensemble classification
Y Tian, Y Feng
Journal of Machine Learning Research 22, 1-93, 2021
332021
Rase: A variable screening framework via random subspace ensembles
Y Tian, Y Feng
Journal of the American Statistical Association 118 (541), 457-468, 2023
102023
Unsupervised multi-task and transfer learning on gaussian mixture models
Y Tian, H Weng, Y Feng
arXiv preprint arXiv:2209.15224, 2022
72022
Learning from similar linear representations: adaptivity, minimaxity, and robustness
Y Tian, Y Gu, Y Feng
arXiv preprint arXiv:2303.17765, 2023
62023
Neyman-pearson multi-class classification via cost-sensitive learning
Y Tian, Y Feng
arXiv preprint arXiv:2111.04597, 2021
62021
Thors: An efficient approach for making classifiers cost-sensitive
Y Tian, W Zhang
IEEE Access 7, 97704-97718, 2019
42019
A Multilayer Correlated Topic Model
Y Tian
arXiv preprint arXiv:2101.02028, 2021
22021
Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models
Y Tian, Y Feng
Test 32 (4), 1172-1176, 2023
12023
Federated Transfer Learning with Differential Privacy
M Li, Y Tian, Y Feng, Y Yu
arXiv preprint arXiv:2403.11343, 2024
2024
Unsupervised Federated Learning: A Federated Gradient EM Algorithm for Heterogeneous Mixture Models with Robustness against Adversarial Attacks
Y Tian, H Weng, Y Feng
arXiv preprint arXiv:2310.15330, 2023
2023
-penalized Multinomial Regression: Estimation, inference, and prediction, with an application to risk factor identification for different dementia subtypes
Y Tian, H Rusinek, AV Masurkar, Y Feng
arXiv preprint arXiv:2302.02310, 2023
2023
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