Accelerated Algorithms for Smooth Convex-Concave Minimax Problems
with O(1/k 2 ) Rate on Squared Gradient Norm
TaeHo Yoon 1 Ernest K. Ryu 1
Abstract value for quantifying suboptimality. Moreover, the notion is
In this work, we study the computational complex- meaningful for differentiable non-convex-concave minimax
ity of reducing the squared gradient magnitude games. Interestingly, very few prior works have analyz ...
附件列表