- The time-marginalized coalescent prior for hierarchical clustering
- Advances in Neural Information Processing Systems
- Pages (from-to)
- Document type
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
We introduce a new prior for use in Nonparametric Bayesian Hierarchical Clustering. The prior is constructed by marginalizing out the time information ofKingman’s coalescent, providing a prior over tree structures which we call the Time-Marginalized Coalescent (TMC). This allows for models which factorize the tree structure and times, providing two benefits: more flexible priors may be
constructed and more efficient Gibbs type inference can be used. We demonstrate this on an example model for density estimation and show the TMC achieves competitive experimental results.
- Proceedings title: 26th Annual Conference on Neural Information Processing Systems 2012: December 3-6, 2012 Lake Tahoe, Nevada,
Publisher: Neural Information Processing Systems
Place of publication: La Jolla, CA
Editors: P. Bartlet, F.C.N. Pereira, C.J.C. Burges, L. Bottou, K.Q. Weinberger
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