Zaiwen Wen, Ph.D.
Affiliations: | 2009 | Columbia University, New York, NY |
Area:
Operations Research, Applied MathematicsGoogle:
"Zaiwen Wen"Parents
Sign in to add mentor| Donald Goldfarb | grad student | 2009 | Columbia | |
| (First-order methods for semidefinite programming.) | ||||
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Publications
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| Yang M, Xu D, Cui Q, et al. (2022) An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Li Y, Liu H, Wen Z, et al. (2020) Low-Rank Matrix Iteration Using Polynomial-Filtered Subspace Extraction Siam Journal On Scientific Computing. 42 |
| Wu L, Liu X, Wen Z. (2020) Symmetric rank-1 approximation of symmetric high-order tensors Optimization Methods & Software. 35: 416-438 |
| Pang T, Li Q, Wen Z, et al. (2020) Phase retrieval: A data-driven wavelet frame based approach Applied and Computational Harmonic Analysis. 49: 971-1000 |
| Wen Z, Yuan Y. (2020) Preface–Special Issue on Mathematical Optimization: Past, Present and Future Journal of the Operations Research Society of China. 8: 197-198 |
| Hu J, Liu X, Wen Z, et al. (2020) A Brief Introduction to Manifold Optimization Journal of the Operations Research Society of China. 8: 199-248 |
| Hu J, Jiang B, Lin L, et al. (2019) Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints Siam Journal On Scientific Computing. 41 |
| Milzarek A, Xiao X, Cen S, et al. (2019) A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization Siam Journal On Optimization. 29: 2916-2948 |
| Ma C, Liu X, Wen Z. (2019) Globally Convergent Levenberg-Marquardt Method for Phase Retrieval Ieee Transactions On Information Theory. 65: 2343-2359 |
| Yuan H, Gu X, Lai R, et al. (2019) Global Optimization with Orthogonality Constraints via Stochastic Diffusion on Manifold Journal of Scientific Computing. 80: 1139-1170 |