Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning.
Journal
IEEE transactions on pattern analysis and machine intelligence
ISSN: 1939-3539
Titre abrégé: IEEE Trans Pattern Anal Mach Intell
Pays: United States
ID NLM: 9885960
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
pubmed:
6
8
2020
medline:
6
8
2020
entrez:
6
8
2020
Statut:
ppublish
Résumé
Recently, many stochastic variance reduced alternating direction methods of multipliers (ADMMs) (e.g., SAG-ADMM and SVRG-ADMM) have made exciting progress such as linear convergence rate for strongly convex (SC) problems. However, their best-known convergence rate for non-strongly convex (non-SC) problems is O(1/T) as opposed to O(1/T
Identifiants
pubmed: 32750780
doi: 10.1109/TPAMI.2020.3000512
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM