Publications

Bloem-Reddy, B. and Teh, Y. (2020) “Probabilistic symmetries and invariant neural networks”, Journal of Machine Learning Research, 21(90), p. 1−61.

Tomašev, N. et al. (2020) “AI for social good: unlocking the opportunity for positive impact”, Nature Communications, 11(1).

Behr, M. et al. (2020) “Testing for dependence on tree structures”, Proceedings of the National Academy of Sciences of the United States of America, 117(18), pp. 9787–9792.

Banerjee, A. et al. (2020) “Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study”, The Lancet, 395(10238), pp. 1715–1725.

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, p. 1327.

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.

Jiang, X., Holmes, C. and McVean, G. (2020) “The impact of age on genetic risk for common diseases.”