Randomized Block Coordinate DC Programming

Fuente: arXiv
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Autori principali: Maskan, Hoomaan, Halvachi, Paniz, Sra, Suvrit, Yurtsever, Alp
Natura: Preprint
Pubblicazione: 2024
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author Maskan, Hoomaan
Halvachi, Paniz
Sra, Suvrit
Yurtsever, Alp
author_facet Maskan, Hoomaan
Halvachi, Paniz
Sra, Suvrit
Yurtsever, Alp
contents We introduce an extension of the Difference of Convex Algorithm (DCA) in the form of a randomized block coordinate approach for problems with separable structure. For $n$ coordinate-blocks and $k$ iterations, our main result proves a non-asymptotic convergence rate of $O(n/k)$ in expectation, with respect to a stationarity measure based on a Forward-Backward envelope. Furthermore, leveraging the connection between DCA and Expectation Maximization (EM), we propose a randomized block coordinate EM algorithm.
format Preprint
id arxiv_https___arxiv_org_abs_2411_11664
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Randomized Block Coordinate DC Programming
Maskan, Hoomaan
Halvachi, Paniz
Sra, Suvrit
Yurtsever, Alp
Optimization and Control
Statistics Theory
90C26
We introduce an extension of the Difference of Convex Algorithm (DCA) in the form of a randomized block coordinate approach for problems with separable structure. For $n$ coordinate-blocks and $k$ iterations, our main result proves a non-asymptotic convergence rate of $O(n/k)$ in expectation, with respect to a stationarity measure based on a Forward-Backward envelope. Furthermore, leveraging the connection between DCA and Expectation Maximization (EM), we propose a randomized block coordinate EM algorithm.
title Randomized Block Coordinate DC Programming
topic Optimization and Control
Statistics Theory
90C26
url https://arxiv.org/abs/2411.11664