Publications

Liu, X. et al. (2025) “Non-stationary Bandit Convex Optimization: A Comprehensive Study.”

Buna-Marginean, A. and Rebeschini, P. (2025) “Robust gradient descent for phase retrieval”, in Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS) 2025. PMLR.

Lehmann, B. et al. (2025) “Methodological opportunities in genomic data analysis to advance health equity”, Nature Reviews Genetics, pp. 1–15.

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.

Cortinovis, S. and Caron, F. (2025) “FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference”, in.

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.

Wegel, T., Kur, G. and Rebeschini, P. (2025) “Early-Stopped Mirror Descent for Linear Regression over Convex Bodies”, arXiv.

Yiu, A. et al. (2025) “Semiparametric posterior corrections”, Journal of the Royal Statistical Society, Series B (Statistical Methodology), 87(4), pp. 1025–1054.

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).

Clerico, E., Flynn, H. and Rebeschini, P. (2025) “Uniform mean estimation for monotonic processes”, arXiv.