Significance of Minimax Optimization part1(Machine Learning)
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization(arXiv) Author : Feihu Huang Abstract : In the paper, we study a class of nonconvex nonconcave minimax optimization problems (i.e., minxmaxyf(x,y)), where f(x,y) is possible nonconvex in x, and it is nonconcave and satisfies the Polyak-Lojasiewicz (PL) condition in y. Moreover, we…
Significance of Minimax Optimization part1(Machine Learning) Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization(arXiv) Author : Feihu Huang Abstract : In the paper, we study a class of nonconvex nonconcave minimax optimization problems (i.e., minxmaxyf(x,y)), where f(x,y) is possible nonconvex in x, and it is nonconcave and satisfies the Polyak-Lojasiewicz (PL) condition in y. Moreover, we… machine-learning
Significance Minimax Optimization part1Machine Learning Enhanced Adaptive Gradient Algorithms NonconvexPL Minimax OptimizationarXiv Author Feihu Huang Abstract paper study class nonconvex nonconcave minimax optimization problem ie minxmaxyfxy fxy possible nonconvex x nonconcave satisfies PolyakLojasiewicz PL condition Moreover we… machinelearning