The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling

@inproceedings{Williamson2010TheIC,
  title={The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling},
  author={Sinead Williamson and Chong Wang and Katherine A. Heller and David M. Blei},
  booktitle={ICML},
  year={2010}
}
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model—each data point is modeled with a collection of components of different proportions. Though powerful, the HDP makes an assumption that the probability of a component being exhibited by a data point is positively correlated with its proportion within that data point. This might be an undesirable assumption. For example, in topic modeling, a topic (component) might be rare throughout the corpus but… CONTINUE READING
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