Extended Variational Message Passing for Automated Approximate Bayesian Inference

Extended Variational Message Passing for Automated Approximate Bayesian Inference

Variational Message Passing (VMP) provides an automatable and efficient algorithmic framework for approximating Bayesian inference in factorized probabilistic models that consist of conjugate exponential family distributions. The automation of Bayesian inference tasks is very important since many da...

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Bibliographic Details
Main Authors: Semih Akbayrak, Ivan Bocharov, Bert de Vries
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Entropy
Subjects:
Bayesian inference
variational inference
factor graphs
variational message passing
probabilistic programming
Online Access:https://www.mdpi.com/1099-4300/23/7/815

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