A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process

The Annals of Statistics 1

Ferguson, T.: A Bayesian analysis of some nonparametric problems · 1973

Earlier work this paper cites.

The Annals of Statistics 2

Antoniak, C.: Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems · 1974

Earlier work this paper cites.

IEEE Transactions on Pattern Analysis and Machine Intelligence 6

Geman, S., Geman, D.: Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images · 1984

Earlier work this paper cites.

In: École d’été de probabilités de Saint-Flour, XIII—1983, pp. 1–198. Springer, Berlin (1985)

Aldous, D.: Exchangeability and related topics · 1985

Earlier work this paper cites.

Journal of Computational and Graphical Statistics 9

Neal, R.: Markov chain sampling methods for Dirichlet process mixture models · 2000

Earlier work this paper cites.

Journal of Machine Learning Research 3

Blei, D., Ng, A., Jordan, M.: Latent Dirichlet allocation · 2003

Earlier work this paper cites.

Tech. Rep. 1086, Department of Statistics, University of Wisconsin (2003)

Dahl, D.B.: An improved merge-split sampler for conjugate Dirichlet process mixture models · 2003

Cited alongside, same era.

Journal of Computational and Graphical Statistics 13

Jain, S., Neal, R.: A split-merge Markov chain Monte Carlo procedure for the Dirichlet process mixture model · 2004

Cited alongside, same era.

In: Proceedings of the 23rd international conference on Machine learning, ICML ’06, pp. 1049–1056 (2006)

Xing, E.P., Sohn, K.A., Jordan, M.I., Teh, Y.W.: Bayesian multi-population haplotype inference via a hierarchical Dirichlet process mixture · 2006

Cited alongside, same era.

Bayesian Analysis 36

Jain, S., Neal, R.M.: Splitting and Merging Components of a Nonconjugate Dirichlet Process Mixture Model · 2007

Cited alongside, same era.

In: International Conference on Machine Learning (2007)

Liang, P., Jordan, M., Taskar, B.: A permutation-augmented sampler for DP mixture models · 2007

Cited alongside, same era.

In: Neural Information Processing Systems (2007)

Teh, Y., Kurihara, K., Welling, M.: Collapsed variational inference for HDP · 2007

Later among the works it cites.

In: Proceedings of the 25th international conference on Machine learning, ICML ’08, pp. 312–319 (2008)

Fox, E.B., Sudderth, E.B., Jordan, M.I., Willsky, A.S.: An HDP-HMM for systems with state persistence · 2008

Later among the works it cites.

In: Artificial Intelligence and Statistics (2009)

Wang, C., Thiesson, B., Meek, C., Blei, D.: Markov topic models · 2009

Later among the works it cites.

In: International Conference on Machine Learning (2010)

Blei, D., Frazier, P.: Distance dependent Chinese restaurant processes · 2010

Later among the works it cites.

International Journal of Computer Vision 88

Li, L.J., Fei-Fei, L.: Optimol: Automatic online picture collection via incremental model learning · 2010

Later among the works it cites.