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SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm

SABRINA: a stochastic subspace majorization-minimization algorithm
descriptionPublicationkeyboard_double_arrow_right Article 03 Nov 2022 English Publisher:Springer Science and Business Media LLCJournal:Journal of Optimization Theory and Applications, volume 195, pages 919-952 (issn: 0022-3239, eissn: 1573-2878, Copyright policy )Funded by:EC | MAJORIS
Authors: Chouzenoux, Emilie; Fest, Jean-Baptiste;

doi: 10.1007/s10957-022-02122-y

SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm

Abstract

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Keywords

majorization-minimization, Applications of mathematical programming, Stochastic optimization, binary logistic regression, Stochastic programming, subspace acceleration, stochastic optimization, image reconstruction, Majorization-Minimization, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, convergence analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green
Funded by
Related to Research communities
INRIA
The European University of Social Sciences