## Non-parametric Bayesian Models |

See also Gaussian Processes.

**Some relevant publications:**

- van Gael, J., Saatci, Y., Teh, Y.-W., and Ghahramani, Z. (2008)

Beam sampling for the Infinite Hidden Markov Model

Proceedings of the 25th International Conference on Machine Learning**(ICML-2008)**. - Knowles, D. and Ghahramani, Z. (2007)

Infinite Sparse Factor Analysis and Infinite Independent Components Analysis.

In**7th International Conference on Independent Component Analysis and Signal Separation (ICA 2007)**. Lecture Notes in Computer Science Series (LNCS). Springer. - Teh, Y.W., Gorur, D. and Ghahramani, Z. (2007)

Stick-breaking Construction for the Indian Buffet.

To appear in Eleventh International Conference on Artifical Intelligence and Statistics**(AISTATS 2007)**. San Juan, Puerto Rico. - Ghahramani, Z., Griffiths, T.L., Sollich, P. (2007)

Bayesian nonparametric latent feature models (with discussion and rejoinder).

**Bayesian Statistics 8**. Oxford University Press. - Heller, K.A., and Ghahramani, Z. (2007)

A Nonparametric Bayesian Approach to Modeling Overlapping Clusters.

In Eleventh International Conference on Artifical Intelligence and Statistics**(AISTATS 2007)**. San Juan, Puerto Rico. - Meeds, E., Ghahramani, Z., Neal, R. and Roweis, S.T. (2007)

Modeling Dyadic Data with Binary Latent Factors.

In Advances in Neural Information Processing Systems 19**(NIPS-2006)**. Cambridge, MA: MIT Press. - Wood, F., Griffiths, T.L. and Ghahramani, Z. (2006)

A Non-Parametric Bayesian Method for Inferring Hidden Causes.

In Uncertainty in Artificial Intelligence**(UAI-2006)**pp. 536-543. - Griffiths, T.L., and Ghahramani, Z. (2006)

Infinite Latent Feature Models and the Indian Buffet Process.

In*Advances in Neural Information Processing Systems 18***(NIPS-2005)**. - Heller, K.A. and Ghahramani, Z. (2005)

Bayesian Hierarchical Clustering, Gatsby Unit Technical Report GCNU-TR 2005-002. [ps] [pdf]

A shorter version was published in the*Twenty-second International Conference on Machine Learning***(ICML-2005)**. [pdf] - Griffiths, T. L., and Ghahramani, Z. (2005)

Infinite latent feature models and the Indian buffet process.

Gatsby Unit Technical Report GCNU-TR 2005-001. - Zhu, X., Ghahramani, Z., and Lafferty, J. (2005)

Time-Sensitive Dirichlet Process Mixture Models.

Carnegie Mellon University Technical Report CMU-CALD-05-104. - Zhang, J., Ghahramani, Z. and Yang, Y. (2005)

A Probabilistic Model for Online Document Clustering with Application to Novelty Detection [ps]. [pdf]

In*Advances in Neural Information Processing Systems 17*.**(NIPS-2004)** - Minka, T.P., and Ghahramani, Z. (2003)

Expectation Propagation for Infinite Mixtures.

Technical Report, presented at the*NIPS 2003 Workshop on Nonparametric Bayesian Methods and Infinite Models*.

Talk and abstract at this website. -
Beal, M. J., Ghahramani, Z. and Rasmussen, C. E. (2002)

The Infinite Hidden Markov Model [ps.gz] [pdf] [abstract]

In Dietterich, T.G., Becker, S. and Ghahramani, Z. (eds)**Neural Information Processing Systems 14**: 577-585. Cambridge, MA, MIT Press. -
Rasmussen, C. E and Ghahramani, Z. (2002)

Infinite Mixtures of Gaussian Process Experts [ps] [abstract]

In Dietterich, T.G., Becker, S. and Ghahramani, Z. (eds)**Neural Information Processing Systems 14**: 881-888. Cambridge, MA, MIT Press.