Publications

Holmes, C. and Jasra, A. (2009) “Antithetic Methods for Gibbs Samplers”, Journal of Computational and Graphical Statistics, 18(2), pp. 401–414.

Rao, V. and Teh, Y. (2009) “Spatial normalized gamma processes”, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference, pp. 1554–1562.

Asuncion, A. et al. (2009) “On smoothing and inference for topic models”, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009, pp. 27–34.

Gasthaus, J. et al. (2009) “Dependent Dirichlet process spike sorting”, Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference, pp. 497–504.

Teh, Y. and Gorür, D. (2009) “Indian buffet processes with power-law behavior”, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference, pp. 1838–1846.

Caron, F. and Doucet, A. (2009) “Bayesian nonparametric models on decomposable graphs”, in Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference, pp. 225–233.

Welling, M., Teh, Y. and Kappen, B. (2008) “Hybrid variational/Gibbs collapsed inference in topic models”, Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence, UAI 2008, pp. 587–594.

Giannoulatou, E. et al. (2008) “GenoSNP: a variational Bayes within-sample SNP genotyping algorithm that does not require a reference population”, Bioinformatics, 24(19), pp. 2209–2214.

Ramasamy, A. et al. (2008) “Key issues in conducting a meta-analysis of gene expression microarray datasets.”, PLoS medicine, 5(9).

Caron, F. et al. (2008) “Least committed basic belief density induced by a multivariate Gaussian: Formulation with applications”, International Journal of Approximate Reasoning, 48(2), pp. 419–436.