Lu, Zhaosong

8 publications

NeurIPSW 2024 A Stochastic Algorithm for Sinkhorn Distance-Regularized Distributionally Robust Optimization Yufeng Yang, Yi Zhou, Zhaosong Lu

NeurIPS 2024 Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions Quanqi Hu, Qi Qi, Zhaosong Lu, Tianbao Yang

JMLR 2023 A Parameter-Free Conditional Gradient Method for Composite Minimization Under Hölder Condition Masaru Ito, Zhaosong Lu, Chuan He

ICML 2023 Generalized-Smooth Nonconvex Optimization Is as Efficient as Smooth Nonconvex Optimization Ziyi Chen, Yi Zhou, Yingbin Liang, Zhaosong Lu

NeurIPS 2014 An Accelerated Proximal Coordinate Gradient Method Qihang Lin, Zhaosong Lu, Lin Xiao

ICML 2014 Rank-One Matrix Pursuit for Matrix Completion Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye

ICML 2013 A General Iterative Shrinkage and Thresholding Algorithm for Non-Convex Regularized Optimization Problems Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye

NeurIPS 2011 Penalty Decomposition Methods for Rank Minimization Yong Zhang, Zhaosong Lu