Approximate Collapsed Gibbs Clustering with Expectation Propagation

arXiv: Machine Learning, Volume abs/1807.07621, 2018.

Cited by: 1|Views14
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Abstract:

We develop a framework for approximating collapsed Gibbs sampling in generative latent variable cluster models. Collapsed Gibbs is a popular MCMC method, which integrates out variables in the posterior to improve mixing. Unfortunately for many complex models, integrating out these variables is either analytically or computationally intrac...More

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