Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization

被引：0
|
作者：
Zheng, Taoli [1 ]
Zhu, Linglingzhi [1 ]
So, Anthony Man-Cho [1 ]
Blanchet, José [2 ]
Li, Jiajin [2 ]
机构：
[1] CUHK, Hong Kong
[2] Stanford University, United States
来源：
Advances in Neural Information Processing Systems | 2023年 / 36卷
关键词：
Compendex;
D O I：
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学科分类号：
摘要：
Data handling
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收藏
页码：54075 / 54110
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