Publications

Maddison, C. et al. (2017) “Filtering variational objectives”, in Advances in Neural Information Processing Systems. Neural Information Processing Systems Foundation.

Perrone, V. et al. (2017) “Poisson random fields for dynamic feature models”, Journal of Machine Learning Research, 18.

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).

Brunton, L. et al. (2017) “Assessing the effects of the first 2 years of industry‐led badger culling in England on the incidence of bovine tuberculosis in cattle in 2013–2015”, Ecology and Evolution, 7(18), pp. 7213–7230.

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

Dorigatti, I. et al. (2017) “International risk of yellow fever spread from the ongoing outbreak in Brazil, December 2016 to May 2017”, Eurosurveillance, 22(28), p. 30572.