3 papers
math.OC2026
Restart-Free (Accelerated) Gradient Sliding Methods for Strongly Convex Composite Optimization
Xinming Wu, Zi Xu, Huiling Zhang
In this paper, we study a class of composite optimization problems whose objective function is given by the summation of a general smooth and nonsmooth component, together with a r…
math.OC2024
Zeroth-Order primal-dual Alternating Projection Gradient Algorithms for Nonconvex Minimax Problems with Coupled linear Constraints
Huiling Zhang, Zi Xu, Yuhong Dai
In this paper, we study zeroth-order algorithms for nonconvex minimax problems with coupled linear constraints under the deterministic and stochastic settings, which have attracted…
math.OC2023
An accelerated first-order regularized momentum descent ascent algorithm for stochastic nonconvex-concave minimax problems
Huiling Zhang, Zi Xu
Stochastic nonconvex minimax problems have attracted wide attention in machine learning, signal processing and many other fields in recent years. In this paper, we propose an accel…