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Publications

Vary, S., Martínez-Rubio, D. and Rebeschini, P. (2025) “Black-box uniform stability for non-Euclidean empirical risk minimization”, in International Conference on Artificial Intelligence and Statistics, 3-5 May 2025, Splash Beach Resort in Mai Khao, Thailand. Artificial Intelligence and Statistics, pp. 4942–4950.
Freni-Sterrantino, A. et al. (2025) “Assessments and developments in constructing a National Health Index for policy-making, in the UK”, Journal of the Royal Statistical Society. Series A: Statistics in Society, 188(2), pp. 491–514.
Steyn, N. et al. (2025) “A primer on inference and prediction with epidemic renewal models and sequential Monte Carlo”, arXiv.
Steyn, N. et al. (2025) “Pandemic-risk-related behaviour change in England from June 2020 to March 2022: REACT-1 study among over 2 million people”, medRxiv.
Wegel, T., Kur, G. and Rebeschini, P. (2025) “Early-Stopped Mirror Descent for Linear Regression over Convex Bodies”, arXiv.
Awuah, A.-A. et al. (2025) “Seroprevalence of dengue in the Democratic Republic of Congo, Ghana and Senegal: results of the SERODEN study”, International Journal of Infectious Diseases, 152, pp. 107428 – 107428.
Vicco, A. et al. (2025) “Innovative methodological approach to assess dengue transmission: findings from the SERODEN study in Africa”, International Journal of Infectious Diseases, 152, pp. 107423 – 107423.
Yiu, A. et al. (2025) “Semiparametric posterior corrections”, Journal of the Royal Statistical Society, Series B (Statistical Methodology), 87(4), pp. 1025–1054.
Kraemer, M. et al. (2025) “Artificial intelligence for modelling infectious disease epidemics”, Nature, 638(8051), pp. 623–635.
Caron, F. et al. (2025) “Over-parameterised shallow neural networks with asymmetrical node scaling: global convergence guarantees and feature learning”, Transactions on Machine Learning Research, 2025(2).