Cai, Jian-Feng

13 publications

UAI 2025 Fast Non-Convex Matrix Sensing with Optimal Sample Complexity Jian-Feng Cai, Tong Wu, Ruizhe Xia

ICML 2025 Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity Jian-Feng Cai, Zhuozhi Xian, Jiaxi Ying

NeurIPS 2025 Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW Fengmiao Bian, Jinyang Zheng, Ziyun Liu, Jianzhou Luo, Jian-Feng Cai

ICML 2025 Preconditioned Riemannian Gradient Descent Algorithm for Low-Multilinear-Rank Tensor Completion Yuanwei Zhang, Fengmiao Bian, Xiaoqun Zhang, Jian-Feng Cai

ICLR 2024 A Fast and Provable Algorithm for Sparse Phase Retrieval Jian-Feng Cai, Yu Long, Ruixue Wen, Jiaxi Ying

ICML 2024 On the Convergence of Projected Bures-Wasserstein Gradient Descent Under Euclidean Strong Convexity Junyi Fan, Yuxuan Han, Zijian Liu, Jian-Feng Cai, Yang Wang, Zhengyuan Zhou

AISTATS 2024 RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound Under the Local Access Model Junyi Fan, Yuxuan Han, Jialin Zeng, Jian-Feng Cai, Yang Wang, Yang Xiang, Jiheng Zhang

NeurIPS 2023 Fast Projected Newton-like Method for Precision Matrix Estimation Under Total Positivity Jian-Feng Cai, José Vinícius de Miranda Cardoso, Daniel Palomar, Jiaxi Ying

JMLR 2022 Provable Tensor-Train Format Tensor Completion by Riemannian Optimization Jian-Feng Cai, Jingyang Li, Dong Xia

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

ICCV 2013 Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration Chenglong Bao, Jian-Feng Cai, Hui Ji

CVPR 2009 Blind Motion Deblurring from a Single Image Using Sparse Approximation Jian-Feng Cai, Hui Ji, Chaoqiang Liu, Zuowei Shen

CVPR 2009 High-Quality Curvelet-Based Motion Deblurring from an Image Pair Jian-Feng Cai, Hui Ji, Chaoqiang Liu, Zuowei Shen