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Parallel Sampling of HDPs using Sub-Cluster Splits
Jason Chang · John Fisher III

Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D #None

We develop a sampling technique for Hierarchical Dirichlet process models. The parallel algorithm builds upon [Chang & Fisher 2013] by proposing large split and merge moves based on learned sub-clusters. The additional global split and merge moves drastically improve convergence in the experimental results. Furthermore, we discover that cross-validation techniques do not adequately determine convergence, and that previous sampling methods converge slower than were previously expected.

Author Information

Jason Chang (Google)
John Fisher III (MIT)

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