47 citations · 47 across the 5 of their papers we have counts for
5 papers
Restart-Free Oracle-Efficient Methods for Strongly Convex Composite Optimization
Xinming Wu, Zi Xu, Huiling Zhang
We consider strongly convex composite optimization problems whose objective is the sum of a general smooth component, a general nonsmooth component, and a relatively simple nonsmoo…
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…
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…
Iterative Minimax Games with Coupled Linear Constraints
Huiling Zhang, Zi Xu, Yu-Hong Dai
The study of nonconvex minimax games has gained significant momentum in machine learning and decision science communities due to their fundamental connections to adversarial traini…
A Unified Single-loop Alternating Gradient Projection Algorithm for Nonconvex-Concave and Convex-Nonconcave Minimax Problems
Zi Xu, Huiling Zhang, Yang Xu +1
Much recent research effort has been directed to the development of efficient algorithms for solving minimax problems with theoretical convergence guarantees due to the relevance o…