A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization

Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/243006

DC Field	Value
dc.title	A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization
dc.contributor.author	Dai, Yutong
dc.contributor.author	Wang, Guanyi
dc.contributor.author	Curtis, Frank
dc.contributor.author	Robinson, Daniel
dc.date.accessioned	2023-07-11T02:08:24Z
dc.date.available	2023-07-11T02:08:24Z
dc.date.issued	2023-04-25
dc.identifier.citation	Dai, Yutong, Wang, Guanyi, Curtis, Frank, Robinson, Daniel (2023-04-25). A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization. 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023 PMLR 206:5107-5133. ScholarBank@NUS Repository.
dc.identifier.uri	https://scholarbank.nus.edu.sg/handle/10635/243006
dc.source	Elements
dc.type	Conference Paper
dc.date.updated	2023-07-10T08:41:09Z
dc.contributor.department	INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT
dc.description.sourcetitle	26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023
dc.description.volume	PMLR 206:5107-5133
dc.published.state	Unpublished
Appears in Collections:	Elements Staff Publications

File	Description	Size	Format	Access Settings	Version
dai23a.pdf	Published version	873.28 kB	Adobe PDF	OPEN	Published	View/Download

Check