Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization

Variance reduction techniques like SVRG provide simple and fast algorithms for optimizing a convex finite-sum objective. For nonconvex objectives, these techniques can also find a first-order stationary point (with small gradient). However, in nonconvex optimization it is often crucial to find a sec...

全面介紹

Saved in:
書目詳細資料
Main Authors: GE, Rong, LI, Zhize, WANG, Weiyao, WANG, Xiang
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2019
主題:
在線閱讀:https://ink.library.smu.edu.sg/sis_research/8677
https://ink.library.smu.edu.sg/context/sis_research/article/9680/viewcontent/COLT19_stabilizedsvrg.pdf
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!