文献
J-GLOBAL ID:202002227506326906
整理番号:20A2345048
凸最適化のための線形収束確率再帰勾配法【JST・京大機械翻訳】
A linearly convergent stochastic recursive gradient method for convex optimization
著者 (6件):
Liu Yan
(School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China)
,
Liu Yan
(Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China)
,
Wang Xiao
(School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China)
,
Wang Xiao
(Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China)
,
Guo Tiande
(School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China)
,
Guo Tiande
(Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China)
資料名:
Optimization Letters
(Optimization Letters)
巻:
14
号:
8
ページ:
2265-2283
発行年:
2020年
JST資料番号:
W4817A
ISSN:
1862-4472
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)