Abstract / Description of output
The implementation of collapsed Gibbs samplers for non-parametric Bayesian models is non-trivial, requiring con-siderable book-keeping. Goldwater et al. (2006a) presented an approximation which significantly reduces the storage and computation overhead, but we show here that their formulation was incorrect and, even after correction, is grossly inaccurate. We present an alternative formulation which is exact and can be computed easily. However this approach does not work for hierarchical models, for which case we present an efficient data structure which has a better space complexity than the naive approach.
|Title of host publication||Proceedings of the ACL-IJCNLP 2009 Conference Short Papers|
|Place of Publication||Suntec, Singapore|
|Publisher||Association for Computational Linguistics|
|Number of pages||4|
|Publication status||Published - 1 Aug 2009|