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University of Oxford, Department of Statistics logo
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Publications

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.”
Jacob, P. et al. (no date) “Better together? Statistical learning in models made of modules.”
Chan, L., Hutchison, G. and Morris, G. (no date) “Understanding Ring Puckering in Small Molecules and Cyclic Peptides.”
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.
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].
Sekirnik, A. et al. (no date) “Identification of histone peptide binding specificity and small molecule ligands for the bromodomains of TRIM33α and TRIM33β”, ChemRxiv.
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.”