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 subtypes Y Tian, H Rusinek, AV Masurkar, Y Feng arXiv preprint arXiv:2302.02310, 2023 | | 2023 |