Publications

Yiu, A. et al. (2025) “Semiparametric posterior corrections”, Journal of the Royal Statistical Society, Series B (Statistical Methodology), 87(4), pp. 1025–1054.

Caron, F. et al. (2025) “Over-parameterised shallow neural networks with asymmetrical node scaling: global convergence guarantees and feature learning”, Transactions on Machine Learning Research, 2025(2).

Wirth, L., Aminian, G. and Reinert, G. (2025) “Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance.”

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

He, Y. et al. (2025) “Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions”, arXiv.

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

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.