Optimality Conditions for Nonsmooth Nonconvex-Nonconcave Min-Max Problems and Generative Adversarial Networks-Reference-Cited by-同舟云学术

Optimality Conditions for Nonsmooth Nonconvex-Nonconcave Min-Max Problems and Generative Adversarial Networks

Published:2023-08-10 Issue:3 Volume:5 Page:693-722
ISSN:2577-0187
Container-title:SIAM Journal on Mathematics of Data Science
language:en
Short-container-title:SIAM Journal on Mathematics of Data Science

Author:

Jiang Jie¹^ORCID,Chen Xiaojun²

Affiliation:

1. College of Mathematics and Statistics, Chongqing University, Chongqing, China, and CAS AMSS-PolyU Joint Laboratory of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China.

2. Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China.

Funder

Hong Kong Grant Council

Hong Kong Polytechnic University

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

General Medicine

Reference24 articles.

1. Exact Penalization of Generalized Nash Equilibrium Problems

2. Convergence Analysis of Sample Average Approximation of Two-Stage Stochastic Generalized Equations

3. Optimal Primal-Dual Methods for a Class of Saddle Point Problems

4. A Generalized Second-Order Derivative in Nonsmooth Optimization

5. Generative Adversarial Networks: An Overview

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