Publications
Holmes, C. and Mallick, B. (no date) “Bayesian wavelet networks for nonparametric regression”, IEEE Transactions on Neural Networks, 11(1), pp. 27–35.
Behme, A., Klüppelberg, C. and Reinert, G. (no date) “Hitting probabilities for compound Poisson processes in a bipartite network.”
Rao, D. et al. (no date) “Continual Unsupervised Representation Learning.”
Vollmer, S. et al. (no date) “Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness.”
Teh, Y., Elliott, L. and Blundell, C. (no date) “Bayesian Nonparametric Modelling of Genetic Variations using Fragmentation-Coagulation”, Journal of Machine Learning Research [Preprint].
Ernst, M., Reinert, G. and Swan, Y. (no date) “On infinite covariance expansions.”
Fathi, M. et al. (no date) “Relaxing the Gaussian assumption in Shrinkage and SURE in high dimension.”
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.”
Anastasiou, A. et al. (no date) “Stein’s Method Meets Statistics: A Review of Some Recent Developments.”