1 citations · 2 across the 2 of their papers we have counts for
4 papers · 1 filter
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…
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…
A Stochastic Proximal Point Algorithm for Saddle-Point Problems
Luo Luo, Cheng Chen, Yujun Li +2
We consider saddle point problems which objective functions are the average of strongly convex-concave individual components. Recently, researchers exploit variance reduction m…
Nesterov's Acceleration For Approximate Newton
Haishan Ye, Zhihua Zhang
Optimization plays a key role in machine learning. Recently, stochastic second-order methods have attracted much attention due to their low computational cost in each iteration. Ho…