| Decentralized bilevel optimization X Chen, M Huang, S Ma Optimization Letters, 1-65, 2024 | 50 | 2024 |
| Decentralized stochastic bilevel optimization with improved per-iteration complexity X Chen, M Huang, S Ma, K Balasubramanian International Conference on Machine Learning, 4641-4671, 2023 | 32 | 2023 |
| Efficiently escaping saddle points in bilevel optimization M Huang, X Chen, K Ji, S Ma, L Lai Journal of Machine Learning Research 26 (1), 1-61, 2025 | 28 | 2025 |
| Optimal algorithms for stochastic bilevel optimization under relaxed smoothness conditions X Chen, T Xiao, K Balasubramanian Journal of Machine Learning Research 25 (151), 1-51, 2024 | 19 | 2024 |
| A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization T Xiao, X Chen, K Balasubramanian, S Ghadimi Conference on Uncertainty in Artificial Intelligence (UAI), 2023, 2023 | 8 | 2023 |
| From stability to chaos: Analyzing gradient descent dynamics in quadratic regression X Chen, K Balasubramanian, P Ghosal, B Agrawalla Transactions on Machine Learning Research, 2023 | 5 | 2023 |
| Stochastic optimization algorithms for instrumental variable regression with streaming data X Chen, A Roy, Y Hu, K Balasubramanian arXiv preprint arXiv:2405.19463, 2024 | 3 | 2024 |
| Problem-parameter-free decentralized nonconvex stochastic optimization J Li, X Chen, S Ma, M Hong arXiv preprint arXiv:2402.08821, 2024 | 3 | 2024 |
| Fully First-Order Methods for Decentralized Bilevel Optimization X Wang, X Chen, S Ma, T Zhang arXiv preprint arXiv:2410.19319, 2024 | 1 | 2024 |
| Stochastic nested compositional bi-level optimization for robust feature learning X Chen, K Balasubramanian, S Ghadimi arXiv preprint arXiv:2307.05384, 2023 | 1 | 2023 |
| Stochastic Optimization for Machine Learning: Investigations on Bilevel Optimization and Large Learning Rates X Chen University of California, Davis, 2024 | | 2024 |