Hybrid Approximate Message Passing

Gaussian and quadratic approximations of message passing algorithms on graphs have attracted considerable recent attention due to their computational simplicity, analytic tractability, and wide applicability in optimization and statistical inference problems. This paper presents a systematic framewo...

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Bibliographic Details

Published in:	IEEE transactions on signal processing Vol. 65; no. 17; pp. 4577 - 4592
Main Authors:	Rangan, Sundeep, Fletcher, Alyson K., Goyal, Vivek K., Byrne, Evan, Schniter, Philip
Format:	Journal Article
Language:	English
Published:	IEEE 01.09.2017
Subjects:	Approximate message passing Approximation algorithms belief propagation Graphical models group sparsity Inference algorithms max-sum algorithm Message passing multinomial logistic regression Optimization Signal processing algorithms sum-product algorithm
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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