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

Mon Dec 8th 07:00 -- 11:59 PM @ 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 W Fisher III (MIT)

More from the Same Authors