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Approximate message passing with spectral initialization for generalized linear models*
Abstract
We consider the problem of estimating a signal from measurements obtained via a generalized linear model. We focus on estimators based on approximate message passing...
Approximate message passing with spectral initialization for generalized linear models * * This article is an updated version of
We consider the problem of estimating a signal from measurements obtained via a generalized linear model. We focus on estimators based on approximate message passing (AMP), a family of iterative algorithms with many appealing...
Paper Machine Learning 2022 Machine Learning message-passing algorithms Statistical inference learning theory
Published by: IOP Publishing and SISSA
Approximate message passing with spectral initialization for generalized linear models * * This article is an updated version of
We consider the problem of estimating a signal from measurements obtained via a generalized linear model. We focus on estimators based on approximate message passing (AMP), a family of iterative algorithms with many appealing...
Published by: IOP Publishing and SISSA