Truncation-free Hybrid Inference for DPMM

13 Jan 2017Arnim Bleier

Dirichlet process mixture models (DPMM) are a cornerstone of Bayesian non-parametrics. While these models free from choosing the number of components a-priori, computationally attractive variational inference often reintroduces the need to do so, via a truncation on the variational distribution... (read more)

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