@InProceedings{daume07coalescent,
  author =       {Yee Whye Teh and Hal {Daum\'e III} and Daniel Roy},
  title =        {Bayesian Agglomerative Clustering with Coalescents}
  booktitle =    {Proceedings of the Conference on Neural Information Processing Systems (NIPS)},
  year =         {2007},
  address =      {Vancouver, Canada},
  abstract =     {
    We introduce a new Bayesian model for hierarchical clustering based on
    a prior over trees called Kingman's coalescent.  We develop novel
    greedy and sequential Monte Carlo inferences which operate in a
    bottom-up agglomerative fashion.  We show experimentally the
    superiority of our algorithms over others, and demonstrate our
    approach in document clustering and phylolinguistics.
  },
  keywords = {ml bayes},
  tagline = {We introduce a new Bayesian model for hierarchical clustering based on a prior over trees called Kingman's coalescent. We develop novel greedy and sequential Monte Carlo inferences which operate in a bottom-up agglomerative fashion. We show experimentally the superiority of our algorithms over others, and demonstrate our approach in document clustering and phylolinguistics.},
  url = {http://pub.hal3.name/#daume07coalescent}
}