Stochastic proximal methods for non-smooth non-convex constrained sparse optimization

被引：0
|
作者：
Metel, Michael R. [1 ]
Takeda, Akiko [1 ,2 ]
机构：
[1] Center for Artificial Intelligence Project, RIKEN, Tokyo,103-0027, Japan
[2] Graduate School of Information Science and Technology, The University of Tokyo, Tokyo,103-0027, Japan
来源：
Journal of Machine Learning Research | 2021年 / 22卷
关键词：
Compendex;
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摘要：
Constrained optimization - Convex optimization - Stochastic systems
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