Publications

Caron, F. and Fox, E. (2017) “Sparse graphs using exchangeable random measures”, Journal of the Royal Statistical Society Series B: Statistical Methodology, 79(5), pp. 1295–1366.

Daly, A. et al. (2017) “Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models”, Interface, 14(134).

Drovandi, C. et al. (2017) “Principles of Experimental Design for Big Data Analysis”, Statistical Science, 32(3), pp. 385–404.

Rebeschini, P. and Tatikonda, S. (2017) “Accelerated Consensus via Min-Sum Splitting”, arXiv.

Wang, Z. et al. (2017) “Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration”, p. 146795.

Bardenet, R., Doucet, A. and Holmes, C. (2017) “On Markov chain Monte Carlo Methods for Tall Data”, Journal of Machine Learning Research, 18(47), pp. 1–43.

Maddison, C., Mnih, A. and Teh, Y. (2017) “The concrete distribution: A continuous relaxation of discrete random variables”, in International Conference on Learning Representations (2017). International Conference on Learning Representations, pp. 1–20.

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.