10 citations · 19 across the 7 of their papers we have counts for
4 papers · 1 filter
Decentralized Stochastic Variance Reduced Extragradient Method
Luo Luo, Haishan Ye
This paper studies decentralized convex-concave minimax optimization problems of the form , where is the number…
Explicit Superlinear Convergence Rates of The SR1 Algorithm
Haishan Ye, Dachao Lin, Zhihua Zhang +1
We study the convergence rate of the famous Symmetric Rank-1 (SR1) algorithm which has wide applications in different scenarios. Although it has been extensively investigated, SR1…
PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction
Haishan Ye, Wei Xiong, Tong Zhang
This paper considers the decentralized composite optimization problem. We propose a novel decentralized variance-reduction proximal-gradient algorithmic framework, called PMGT-VR,…
Mirror Natural Evolution Strategies
Haishan Ye, Tong Zhang
Evolution Strategies such as CMA-ES (covariance matrix adaptation evolution strategy) and NES (natural evolution strategy) have been widely used in machine learning applications, w…