2 citations · 2 across the 4 of their papers we have counts for
4 papers
Optimality Conditions and Numerical Algorithms for a Class of Minimax Bilevel Optimization Problems
Yaling Hu, Jiani Wang, Yu-hong Dai +1
In many applications, including Stackelberg games, machine learning, and power systems \cite{Mackay2018Selftuning,Heinrich1952The,Wang2021Bi-Level}, the decisions in a minimax opti…
Stochastic Approximation Proximal Subgradient Method for Stochastic Convex-Concave Minimax Optimization
Yu-Hong Dai, Jiani Wang, Liwei Zhang
This paper presents a stochastic approximation proximal subgradient (SAPS) method for stochastic convex-concave minimax optimization. By accessing unbiased and variance bounded app…
Optimality Conditions and Numerical Algorithms for A Class of Linearly Constrained Minimax Optimization Problems
Yu-Hong Dai, Jiani Wang, Liwei Zhang
It is well known that there have been many numerical algorithms for solving nonsmooth minimax problems, numerical algorithms for nonsmooth minimax problems with joint linear constr…
Majorized Semi-proximal Alternating Coordinate Method for Nonsmooth Convex-Concave Minimax Optimization
Yu-Hong Dai, Jiani Wang, Liwei Zhang
Minimax optimization problems are an important class of optimization problems arising from modern machine learning and traditional research areas. While there have been many numeri…