Efficient bayes inference in neural networks through adaptive importance sampling-Reference-Cited by-同舟云学术

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Efficient bayes inference in neural networks through adaptive importance sampling

Published:2023-11 Issue:16 Volume:360 Page:12125-12149
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Huang Yunshi^ORCID,Chouzenoux Emilie^ORCID,Elvira Víctor^ORCID,Pesquet Jean-Christophe

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference46 articles.

1. Bayesian Methods for Neural Networks;Bishop,1997

2. Monte Carlo Statistical Methods;Robert,2004

3. Efficient multiple importance sampling estimators;Elvira;IEEE Sig. Process. Lett.,2015

4. Heretical multiple importance sampling;Elvira;IEEE Signal Process. Lett.,2016

5. Generalized multiple importance sampling;Elvira;Stat. Sci.,2019

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