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University of Oxford, Department of Statistics logo
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Publications

Teh, Y., Elliott, L. and Blundell, C. (no date) “Bayesian Nonparametric Modelling of Genetic Variations using Fragmentation-Coagulation”, Journal of Machine Learning Research [Preprint].
Sekirnik, A. et al. (no date) “Identification of histone peptide binding specificity and small molecule ligands for the bromodomains of TRIM33α and TRIM33β”, ChemRxiv.
Heess, N., Silver, D. and Teh, Y. (no date) “Actor-Critic Reinforcement Learning with Energy-Based Policies”, in Journal of Machine Learning Research Workshop and Conference Proceedings.
Foster, A. et al. (no date) “Variational Bayesian Optimal Experimental Design.”
Gaunt, R. and Reinert, G. (no date) “The rate of convergence of some asymptotically chi-square distributed statistics by Stein’s method.”
Mijoule, G., Reinert, G. and Swan, Y. (no date) “Stein’s density method for multivariate continuous distributions.”
Vollmer, S. et al. (no date) “Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness.”
Gorur, D. and Teh, Y. (no date) “An Efficient Sequential Monte-Carlo Algorithm for Coalescent Clustering”, in.
Gunnarsson, Á. and Teh, Y. (no date) “Scalable approaches to inference and analysis of genome-wide genealogies.”
Kafkafi, N. et al. (no date) “Reproducibility and replicability of rodent phenotyping in preclinical studies”, bioRxiv.