Variational message passing (VMP) applied to LDA
- URL: http://arxiv.org/abs/2111.01480v1
- Date: Tue, 2 Nov 2021 10:32:15 GMT
- Title: Variational message passing (VMP) applied to LDA
- Authors: Rebecca M.C. Taylor and Johan A. du Preez
- Abstract summary: Variational message passing (VMP) is the message passing equivalent of VB.
In this article we present the VMP equations for latent Dirichlet allocation (LDA)
- Score: 3.5027291542274366
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Variational Bayes (VB) applied to latent Dirichlet allocation (LDA) is the
original inference mechanism for LDA. Many variants of VB for LDA, as well as
for VB in general, have been developed since LDA's inception in 2013, but
standard VB is still widely applied to LDA. Variational message passing (VMP)
is the message passing equivalent of VB and is a useful tool for constructing a
variational inference solution for a large variety of conjugate exponential
graphical models (there is also a non conjugate variant available for other
models). In this article we present the VMP equations for LDA and also provide
a brief discussion of the equations. We hope that this will assist others when
deriving variational inference solutions to other similar graphical models.
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