42 citations · 157 across the 25 of their papers we have counts for
4 papers · 1 filter
Efficient Projection-Free Algorithms for Saddle Point Problems
Cheng Chen, Luo Luo, Weinan Zhang +1
The Frank-Wolfe algorithm is a classic method for constrained optimization problems. It has recently been popular in many machine learning applications because its projection-free…
Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices
Luo Luo, Cheng Chen, Guangzeng Xie +1
We study the streaming model for approximate matrix multiplication (AMM). We are interested in the scenario that the algorithm can only take one pass over the data with limited mem…
Multi-consensus Decentralized Accelerated Gradient Descent
Haishan Ye, Luo Luo, Ziang Zhou +1
This paper considers the decentralized convex optimization problem, which has a wide range of applications in large-scale machine learning, sensor networks, and control theory. We…
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
Luo Luo, Haishan Ye, Zhichao Huang +1
We consider nonconvex-concave minimax optimization problems of the form , where is strongly-concave in but p…