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math.OC2022★ 1 cited
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…
math.OC2020
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…
math.OC2019
A General Analysis Framework of Lower Complexity Bounds for Finite-Sum Optimization
Guangzeng Xie, Luo Luo, Zhihua Zhang
This paper studies the lower bound complexity for the optimization problem whose objective function is the average of individual smooth convex functions. We consider the algori…