| Fedcm: Federated learning with client-level momentum J Xu, S Wang, L Wang, ACC Yao arXiv preprint arXiv:2106.10874, 2021 | 54 | 2021 |
| Faster gradient-free algorithms for nonsmooth nonconvex stochastic optimization L Chen, J Xu, L Luo International Conference on Machine Learning, 5219-5233, 2023 | 4 | 2023 |
| Quantifying the variability collapse of neural networks J Xu, H Liu International Conference on Machine Learning, 38535-38550, 2023 | 2 | 2023 |
| Bilevel Optimization without Lower-Level Strong Convexity from the Hyper-Objective Perspective L Chen, J Xu, J Zhang arXiv preprint arXiv:2301.00712, 2023 | 1 | 2023 |
| When do Models Generalize? A Perspective from Data-Algorithm Compatibility J Xu, J Teng, Y Yuan, ACC Yao arXiv preprint arXiv:2202.06054, 2022 | 1 | 2022 |
| Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression J Xu, J Teng, Y Yuan, A Yao Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
