Zeroth-order algorithms for nonconvex–strongly-concave minimax problems with improved complexities Z Wang, K Balasubramanian, S Ma, M Razaviyayn Journal of Global Optimization, 1-32, 2022 | 39* | 2022 |
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis Z Wang, B Liu, S Chen, S Ma, L Xue, H Zhao INFORMS Journal on Optimization, 2021, 2020 | 15 | 2020 |
Machine learning reveals sex differences in clinical features of acute exacerbation of chronic obstructive pulmonary disease (AECOPD): A multicenter cross-sectional study Z Chen, J Wang, H Wang, Y Yao, H Deng, J Peng, X Li, Z Wang, X Chen, ... Frontiers in Medicine 10, 307, 2023 | 1 | 2023 |
Nonconvex Stochastic Nested Optimization via Stochastic ADMM Z Wang arXiv preprint arXiv:1911.05167, 2019 | 1 | 2019 |
New Algorithms for Riemannian Optimization and Minimax Problems with Machine Learning Applications Z Wang University of California, Davis, 2022 | | 2022 |
Zeroth-Order Algorithms for Stochastic Nonconvex Minimax Problems with Improved Complexities Z Wang, K Balasubramanian, S Ma, M Razaviyayn Workshop on “Beyond First-Order Methods in Machine Learning Systems” hosted …, 2021 | | 2021 |
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities Z Wang, K Balasubramanian, S Ma, M Razaviyayn 2021 ICML workshop on “Beyond First-Order Methods in Machine Learning Systems”, 2020 | | 2020 |