Publications
Ley, C., Reinert, G. and Swan, Y. (no date) “Distances between nested densities and a measure of the impact of the prior in Bayesian statistics”, Annals of Applied Probability [Preprint].
Reinert, G. and Yang, C. (no date) “A Bound on the Rate of Convergence in the Central Limit Theorem for Renewal Processes under Second Moment Conditions.”
Rao, D. et al. (no date) “Continual Unsupervised Representation Learning.”
Teh, Y., Elliott, L. and Blundell, C. (no date) “Bayesian Nonparametric Modelling of Genetic Variations using Fragmentation-Coagulation”, Journal of Machine Learning Research [Preprint].
Mathieu, E. et al. (no date) “Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders.”
Foster, A. et al. (no date) “Variational Bayesian Optimal Experimental Design.”
Jacob, P. et al. (no date) “Better together? Statistical learning in models made of modules.”
Barbour, A. and Reinert, G. (no date) “Estimating the correlation in network disturbance models.”
Gaunt, R. and Reinert, G. (no date) “The rate of convergence of some asymptotically chi-square distributed statistics by Stein’s method.”