Publications

Lu, X. et al. (2017) “Relativistic Monte Carlo”, Proceedings of Machine Learning Research: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 54, pp. 1236–1245.

Caron, F. et al. (2017) “Generalized Polya Urn for Time-Varying Pitman-Yor Processes”, Journal of Machine Learning Research, 18(27), pp. 1–32.

Ansari, M. et al. (2017) “Genome-to-genome analysis highlights the effect of the human innate and adaptive immune systems on the hepatitis C virus”, Nature Genetics, 49(5), pp. 653–814.

Esperança, P., Aslett, L. and Holmes, C. (2017) “Encrypted accelerated least squares regression”, AISTATS 2017: The 20th International Conference on Artificial Intelligence and Statistics. Edited by A. Singh and J. Zhu, 54, pp. 334–343.

Flaxman, S., Teh, Y. and Sejdinovic, D. (2017) “Poisson intensity estimation with reproducing kernels”, in International Conference on Artificial Intelligence and Statistics (AISTATS). AI & Statistics.

Caron, F. and Matechou, E. (2017) “Modelling individual migration patterns using a Bayesian nonparametric approach for capture-recapture data”, Annals of Applied Statistics, 11(1), pp. 21–40.

Holmes, C. and Walker, S. (2017) “Assigning a value to a power likelihood in a general Bayesian model”, Biometrika, 104(2), pp. 497–503.

Arbel, J. et al. (2017) “Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics”, Statistica Sinica, 27, pp. 839–858.

Hejblum, B. et al. (2017) “Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data”, arXiv.

Roxanis, I. et al. (2017) “Digital analysis of tumour microarchitecture as an independent prognostic tool in breast cancer”, in Laboratory Investigation. Nature Publishing Group, p. 68A.