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Publications

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.
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.
Caron, F. and Teh, Y. (2012) “Bayesian nonparametric models for ranked data”, in Advances in Neural Information Processing Systems, pp. 1520–1528.
Caron, F. and Teh, Y. (2012) “Bayesian nonparametric models for ranked data”, in Advances in Neural Information Processing Systems, pp. 1520–1528.
Archambeau, C. and Caron, F. (2012) “Plackett-luce regression: A new bayesian model for polychotomous data”, in Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012, pp. 84–92.
Caron, F. (2012) “Bayesian nonparametric models for bipartite graphs”, in Advances in Neural Information Processing Systems, pp. 2051–2059.
Caron, F., Teh, Y. and Murphy, T. (2012) “Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes”, arXiv.
Caron, F. and Teh, Y. (2012) “Bayesian nonparametric models for ranked data”, arXiv.
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.