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math.OC2024
AGDA+: Proximal Alternating Gradient Descent Ascent Method with a Nonmonotone Adaptive Step-Size Search for Nonconvex Minimax Problems
Xuan Zhang, Qiushui Xu, Necdet Serhat Aybat
We consider double-regularized nonconvex-strongly concave (NCSC) minimax problems of the form , where , ar…
math.OC2024★ 1 cited
A Stochastic GDA Method With Backtracking For Solving Nonconvex Concave Minimax Problems
Necdet Serhat Aybat, Qiushui Xu, Xuan Zhang +1
We propose a stochastic GDA (gradient descent ascent) method with backtracking (SGDA-B) to solve nonconvex-concave (NCC) minimax problems of the form: $\min_{\mathbf{x}} \max_y \su…