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Rethinking Collapsed Variational Bayes Inference for LDA

2020-02-28 | |  41 |   41 |   0

Abstract

We propose a novel interpretation of the collapsed variational Bayes inference with a zero-order Taylor expansion approximation, called CVB0 inference, for latent Dirichlet allocation (LDA). We clarify the properties of the CVB0 inference by using the α-divergence. We show that the CVB0 inference is composed of two di?erent divergence projections: α = 1 and - 1. This interpretation will help shed light on CVB0 works.

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