165 citations · 435 across the 12 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
math.OC2021★ 6 cited
Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems
Sucheol Lee, Donghwan Kim
Modern minimax problems, such as generative adversarial network and adversarial training, are often under a nonconvex-nonconcave setting, and developing an efficient method for suc…
math.OC2021★ 1 cited
Semi-Anchored Multi-Step Gradient Descent Ascent Method for Structured Nonconvex-Nonconcave Composite Minimax Problems
Sucheol Lee, Donghwan Kim
Minimax problems, such as generative adversarial network, adversarial training, and fair training, are widely solved by a multi-step gradient descent ascent (MGDA) method in practi…