Publications

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

Adams, J. et al. (2025) “Individualised Counterfactual Examples Using Conformal Prediction Intervals”, in Proceedings of Machine Learning Research, pp. 425–444.

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

Hung, E., Mantziou, A. and Reinert, G. (2024) “A Bayesian mixture model for Poisson network autoregression.”

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

Mantziou, A. et al. (2024) “GDP nowcasting with large-scale inter-industry payment data in real time -- A network approach”, 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.

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

Limnios, S. et al. (2024) “SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation”, in ECAI 2024. IOS Press.