Publications

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

Alfano, C. et al. (2025) “Learning mirror maps in policy mirror descent”, in. International Conference on Learning Representations.

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.

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.

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

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

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

Alfano, C. et al. (2024) “Learning Loss Landscapes in Preference Optimization”, arXiv.

Bajaj, S. et al. (2024) “COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys”, The Lancet Digital Health, 6(11), pp. e778 - e790.

Liley, J. et al. (2024) “Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland”, npj Digital Medicine, 7(1), p. 302.