Publications

Mnih, A. and Teh, Y. (2012) “Learning label trees for probabilistic modelling of implicit feedback”, Advances in Neural Information Processing Systems, 4, pp. 2816–2824.

Rao, V. and Teh, Y. (2012) “MCMC for continuous-time discrete-state systems”, Advances in Neural Information Processing Systems, 1, pp. 701–709.

Elliott, L. and Teh, Y. (2012) “Scalable imputation of genetic data with a discrete fragmentation- coagulation process”, Advances in Neural Information Processing Systems, 4, pp. 2852–2860.

Caron, F., Teh, Y. and Murphy, T. (2012) “Bayesian nonparametric Plackett-Luce models for the analysis of clustered ranked data.”

Cazier, J.-B., Holmes, C. and Broxholme, J. (2012) “GREVE: Genomic Recurrent Event ViEwer to assist the identification of patterns across individual cancer samples”, Bioinformatics, 28(22), pp. 2981–2982.

Mnih, A. and Teh, Y. (2012) “A fast and simple algorithm for training neural probabilistic language models”, Proceedings of the 29th International Conference on Machine Learning, ICML 2012, 2, pp. 1751–1758.

Valdar, W. et al. (2012) “Reprioritizing Genetic Associations in Hit Regions Using LASSO‐Based Resample Model Averaging”, Genetic Epidemiology, 36(5), pp. 451–462.

Knight, S. et al. (2012) “Quantification of subclonal distributions of recurrent genomic aberrations in paired pre-treatment and relapse samples from patients with B-cell chronic lymphocytic leukemia.”, Leukemia, 26(7), pp. 1564–1575.

Caron, F., Bornn, L. and Doucet, A. (2012) Sparsity-Promoting Bayesian Dynamic Linear Models.

Caron, F., Doucet, A. and Gottardo, R. (2012) “On-line changepoint detection and parameter estimation with application to genomic data”, Statistics and Computing, 22(2), pp. 579–595.