| 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 arXiv preprint arXiv:2301.03139, 2023 | 7 | 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 Journal of Machine Learning Research 24, 1-34, 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 |
| Newton-CG methods for nonconvex unconstrained optimization with H\" older continuous Hessian C He, Z Lu arXiv preprint arXiv:2311.13094, 2023 | | 2023 |
| A proximal augmented Lagrangian based algorithm for federated learning with global and local convex conic constraints C He, L Peng, J Sun arXiv preprint arXiv:2310.10117, 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, 2023 | | 2023 |
| Novel Algorithms for Nonconvex Second-Order Optimization With Complexity Guarantees C He University of Minnesota, 2023 | | 2023 |
Zhaosong LuUniversity of MinnesotaVerified email at umn.edu
