Publications

Reinert, G. (1995) “A Weak Law of Large Numbers for Empirical Measures via Stein’s Method”, The Annals of Probability, 23(1), pp. 334–354.

Reinert, G. (1992) “A threshold theorem for the general stochastic epidemic via a discrete approach”, Statistics & Probability Letters, 14(2), pp. 85–90.

Anastasiou, A. et al. (no date) “Stein’s Method Meets Statistics: A Review of Some Recent Developments.”

Mijoule, G., Reinert, G. and Swan, Y. (no date) “Stein operators, kernels and discrepancies for multivariate continuous distributions.”

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].

Holmes, C. and Mallick, B. (no date) “Bayesian wavelet networks for nonparametric regression”, IEEE Transactions on Neural Networks, 11(1), pp. 27–35.

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.”

Vollmer, S. et al. (no date) “Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness.”