| Fast composite optimization and statistical recovery in federated learning Y Bao, M Crawshaw, S Luo, M Liu International Conference on Machine Learning, 1508-1536, 2022 | 10 | 2022 |
| One-round communication efficient distributed m-estimation Y Bao, W Xiong International Conference on Artificial Intelligence and Statistics, 46-54, 2021 | 10 | 2021 |
| Selective conformal inference with false coverage-statement rate control Y Bao, Y Huo, H Ren, C Zou Biometrika, asae010, 2024 | 5* | 2024 |
| Episode: Episodic gradient clipping with periodic resampled corrections for federated learning with heterogeneous data M Crawshaw, Y Bao, M Liu arXiv preprint arXiv:2302.07155, 2023 | 3 | 2023 |
| Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds M Crawshaw, Y Bao, M Liu Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Byzantine-tolerant distributed multiclass sparse linear discriminant analysis Y Bao, W Liu, X Mao, W Xiong Uncertainty in Artificial Intelligence, 129-138, 2022 | 1 | 2022 |
| CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control Y Bao, Y Huo, H Ren, C Zou arXiv preprint arXiv:2403.07728, 2024 | | 2024 |
| Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization Y Bao, A Shehu, M Liu Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Semi-profiled distributed estimation for high-dimensional partially linear model Y Bao, H Ren Computational Statistics & Data Analysis 188, 107824, 2023 | | 2023 |
| Varying coefficient linear discriminant analysis for dynamic data Y Bao, Y Liu Electronic Journal of Statistics 16 (2), 5378-5436, 2022 | | 2022 |
Mingrui LiuGeorge Mason UniversityVerified email at gmu.edu
