Publications

Steyn, N. et al. (2025) “Bayesian modelling of repeated cross-sectional epidemic prevalence survey data”, medRxiv.

Milne, G. et al. (2025) “Climate-driven rodent infection dynamics align with Lassa fever seasonality in humans”, medRxiv.

Wang, Z. and Holmes, C. (2025) “On Subjective Uncertainty Quantification and Calibration in Natural Language Generation”, in Proceedings of Machine Learning Research, pp. 3799–3807.

Mills, C. et al. (2025) “The time- and space-varying roles of human mobility in shaping urban dengue epidemics”, medRxiv.

Fawkes, J. et al. (2025) “Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition”, in Proceedings of Machine Learning Research, pp. 1423–1431.

Ter-Minassian, L. et al. (2025) “Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation”, in Proceedings of Machine Learning Research, pp. 1900–1908.

Parag, K. et al. (2025) “Asymmetric limits on timely interventions from noisy epidemic data”, medRxiv.

Alfano, C. et al. (2025) “LEARNING MIRROR MAPS IN POLICY MIRROR DESCENT”, in 13th International Conference on Learning Representations Iclr 2025, pp. 60369–60387.

Kamau, E. et al. (2025) “The Mathematics of Serocatalytic Models with applications to public health data”, medRxiv.

Vary, S., Martínez-Rubio, D. and Rebeschini, P. (2024) “Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization”, arXiv.