Publications

Rahmioglu, N. et al. (2017) “Variability of genome-wide DNA methylation and mRNA expression profiles in reproductive and endocrine disease related tissues”, Epigenetics, 12(10), pp. 897–908.

Di Benedetto, G., Caron, F. and Teh, Y. (2017) “Non-exchangeable random partition models for microclustering”, arXiv.

Hasenclver, L. et al. (2017) “Distributed Bayesian learning with stochastic natural gradient expectation propagation and the posterior server”, Journal of Machine Learning Research, 18(106), pp. 1–37.

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.