Publications

Steyn, N. et al. (2025) “A Bayesian model for repeated cross-sectional epidemic prevalence survey data”, PLoS Computational Biology [Preprint].

Baudry, D. et al. (2025) “Does stochastic gradient really succeed for bandits?”, in.

Kilian, V., Cortinovis, S. and Caron, F. (2025) “Anytime-valid, Bayes-assisted, prediction-powered inference”, in. Neural Information Processing Systems Foundation.

Alfano, C. et al. (2025) “Meta-Learning Objectives for Preference Optimization”, in.

Ganjgahi, H. et al. (2025) “AI-driven reclassification of multiple sclerosis progression”, Nature Medicine, 31(10), pp. 3414–3424.

Steyn, N. et al. (2025) “A Primer on Inference and Prediction With Epidemic Renewal Models and Sequential Monte Carlo”, Statistics in Medicine, 44(18-19).

Kamau, E. et al. (2025) “The mathematics of serocatalytic models with applications to public health data”, Statistics in Medicine, 44(15-17).

Mills, C. et al. (2025) “From metric to action: An evaluation framework to translate infectious disease forecasts into policy decisions”, medRxiv.

Farghly, T. et al. (2025) “Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis”, arXiv.

Johnson, E. et al. (2025) “On the necessity of adaptive regularisation:Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls.”