| A Newton-CG based augmented Lagrangian method for finding a second-order stationary point of nonconvex equality constrained optimization with complexity guarantees C He, Z Lu, TK Pong SIAM Journal on Optimization 33 (3), 1734-1766, 2023 | 8 | 2023 |
| A Newton-CG based barrier method for finding a second-order stationary point of nonconvex conic optimization with complexity guarantees C He, Z Lu SIAM Journal on Optimization 33 (2), 1191-1222, 2023 | 2 | 2023 |
| A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition. M Ito, Z Lu, C He J. Mach. Learn. Res. 24, 166:1-166:34, 2023 | 2 | 2023 |
| A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization C He, H Huang, Z Lu arXiv preprint arXiv:2301.04204, 2023 | 1 | 2023 |
| Federated Learning with Convex Global and Local Constraints C He, L Peng, J Sun Transactions on Machine Learning Research, 2024 | | 2024 |
| Newton-CG methods for nonconvex unconstrained optimization with H\" older continuous Hessian C He, Z Lu arXiv preprint arXiv:2311.13094, 2023 | | 2023 |
| Decision Rule Approaches for Pessimistic Bilevel Linear Programs Under Moment Ambiguity with Facility Location Applications A Goyal, Y Zhang, C He INFORMS Journal on Computing 35 (6), 1342-1360, 2023 | | 2023 |
| Novel Algorithms for Nonconvex Second-Order Optimization With Complexity Guarantees C He University of Minnesota, 2023 | | 2023 |
Zhaosong LuUniversity of Minnesota在 umn.edu 的电子邮件经过验证
