University of Oxford, Department of Statistics logo
University of Oxford, Department of Statistics logo
To Department of Statistics Site

Publications

Di Benedetto, G., Caron, F. and Teh, Y. (2020) “Non-exchangeable feature allocation models with sublinear growth of the feature sizes”, arXiv.
Todeschini, A., Miscouridou, X. and Caron, F. (2020) “Exchangeable random measures for sparse and modular graphs with overlapping communities”, Journal of the Royal Statistical Society Series B: Statistical Methodology, 82(2), pp. 487–520.
Bhutta, M. et al. (2019) “Transcript Analysis Reveals a Hypoxic Inflammatory Environment in Human Chronic Otitis Media With Effusion”, Frontiers in Genetics, 10, pp. 1327 – 1327.
Djaafara, B. et al. (2020) “A quantitative framework to define the end of an outbreak: application to Ebola Virus Disease”, pp. 2020.02.17.20024042 – 2020.02.17.20024042.
Gold, S. et al. (2020) “Rabies virus-neutralising antibodies in healthy, unvaccinated individuals: What do they mean for rabies epidemiology?”, PLoS Neglected Tropical Diseases, 14(2).
Vaškevičius, T., Kanade, V. and Rebeschini, P. (2020) “The Statistical Complexity of Early-Stopped Mirror Descent”, arXiv.
Fong, E. and Holmes, C. (2020) “On the marginal likelihood and crossvalidation”, Biometrika, 107(2), pp. 489–496.
Richards, D. and Rebeschini, P. (2020) “Graph-dependent implicit regularisation for distributed stochastic subgradient descent”, Journal of Machine Learning Research, 21(2020), pp. 1–44.
Ainslie, K. et al. (2020) “Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment”, Wellcome open research, 5, pp. 81 – 81.
Titsias, M. et al. (2020) “FUNCTIONAL REGULARISATION FOR CONTINUAL LEARNING WITH GAUSSIAN PROCESSES”, in 8th International Conference on Learning Representations, ICLR 2020.