Publications

Lo, T., Reinert, G. and Zhang, R. (2025) “Isolated vertices in two duplication-divergence models with edge deletion.”

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.

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.

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

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.