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, 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.”

Richards, D., Rebeschini, P. and Rosasco, L. (2020) “Decentralised learning with distributed gradient descent and random features”, in 37th International Conference on Machine Learning, ICML 2020, pp. 8075–8085.

Sharma, M. et al. (2020) “How robust are the estimated effects of nonpharmaceutical interventions against COVID-19?”, in Advances in Neural Information Processing Systems.

He, B., Lakshminarayanan, B. and Teh, Y. (2020) “Bayesian deep ensembles via the neural tangent kernel”, in Advances in Neural Information Processing Systems.