Transfer learning under high-dimensional generalized linear models Y Tian, Y Feng
Journal of the American Statistical Association 118 (544), 2684-2697, 2023
76 2023 RaSE: Random subspace ensemble classification Y Tian, Y Feng
Journal of Machine Learning Research 22, 1-93, 2021
33 2021 Rase: A variable screening framework via random subspace ensembles Y Tian, Y Feng
Journal of the American Statistical Association 118 (541), 457-468, 2023
10 2023 Unsupervised multi-task and transfer learning on gaussian mixture models Y Tian, H Weng, Y Feng
arXiv preprint arXiv:2209.15224, 2022
7 2022 Learning from similar linear representations: adaptivity, minimaxity, and robustness Y Tian, Y Gu, Y Feng
arXiv preprint arXiv:2303.17765, 2023
6 2023 Neyman-pearson multi-class classification via cost-sensitive learning Y Tian, Y Feng
arXiv preprint arXiv:2111.04597, 2021
6 2021 Thors: An efficient approach for making classifiers cost-sensitive Y Tian, W Zhang
IEEE Access 7, 97704-97718, 2019
4 2019 A Multilayer Correlated Topic Model Y Tian
arXiv preprint arXiv:2101.02028, 2021
2 2021 Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models Y Tian, Y Feng
Test 32 (4), 1172-1176, 2023
1 2023 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 subtypesY Tian, H Rusinek, AV Masurkar, Y Feng
arXiv preprint arXiv:2302.02310, 2023
2023