Publications

Azangulov, I. et al. (2025) “Adaptive Diffusion Guidance via Stochastic Optimal Control”, arXiv.

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.

Hedman, M. et al. (2025) “Step-DAD: semi-amortized policy-based Bayesian experimental design”, in. PMLR.

Pituk, G., Shirvaikar, V. and Rainforth, T. (2025) “Do Bayesian neural networks actually behave like Bayesian models?”, in. PMLR.

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

Aminian, G. et al. (2025) “Generalization and robustness of the tilted empirical risk”, in. PMLR.

Pidstrigach, J. et al. (2025) “Conditioning diffusions using Malliavin calculus”, in arXiv.

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.