Cai, Hanqin

8 publications

ICML 2025 Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-Rank Matrix Recovery Paris Giampouras, Hanqin Cai, Rene Vidal

NeurIPSW 2023 Riemannian Optimization for Euclidean Distance Geometry Chandler Mack Smith, Samuel P. Lichtenberg, HanQin Cai, Abiy Tasissa

ICML 2023 Towards Constituting Mathematical Structures for Learning to Optimize Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, Hanqin Cai

ICML 2021 A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization Hanqin Cai, Yuchen Lou, Daniel Mckenzie, Wotao Yin

ICCVW 2021 Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition * HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell

NeurIPS 2021 Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection HanQin Cai, Jialin Liu, Wotao Yin

JMLR 2021 Mode-Wise Tensor Decompositions: Multi-Dimensional Generalizations of CUR Decompositions HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell

JMLR 2019 Accelerated Alternating Projections for Robust Principal Component Analysis HanQin Cai, Jian-Feng Cai, Ke Wei