Parallel Sampling of DP Mixture Models using Sub-Cluster Splits

NeurIPS 2013 Jason ChangJohn W. Fisher Iii

We present a novel MCMC sampler for Dirichlet process mixture models that can be used for conjugate or non-conjugate prior distributions. The proposed sampler can be massively parallelized to achieve significant computational gains... (read more)

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