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...
Main Authors: | Semih Akbayrak, Ivan Bocharov, Bert de Vries |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/7/815 |
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