1 citations · 1 across the 1 of their papers we have counts for
3 papers
math.OC2026★ 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…
math.OC2026
An Accelerated Primal Dual Algorithm with Backtracking for Decentralized Constrained Optimization
Qiushui Xu, Necdet Serhat Aybat, Mert Gürbüzbalaban
We propose a distributed accelerated primal-dual method with backtracking (D-APDB) for cooperative multi-agent constrained consensus optimization problems over an undirected networ…
math.OC2025
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…