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cs.LG2022★ 2 cited
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
Lesi Chen, Haishan Ye, Luo Luo
This paper studies the stochastic nonconvex-strongly-concave minimax optimization over a multi-agent network. We propose an efficient algorithm, called Decentralized Recursive grad…
cs.LG2022★ 1 cited
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
Lesi Chen, Luo Luo
We study the problem of finding a near-stationary point for smooth minimax optimization. The recently proposed extra anchored gradient (EAG) methods achieve the optimal convergence…