Publications by Probability

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

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

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

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

Ayyer, A., Mandelshtam, O. and Martin, J. (2024) “Modified Macdonald polynomials and the multispecies zero range process: II”, Mathematische Zeitschrift, 308(2), p. 31.

Aminian, G. et al. (2024) “Generalization and Robustness of the Tilted Empirical Risk.”

Zhang, R. and Reinert, G. (2024) “Simulating weak attacks in a new duplication–divergence model with node loss”, Entropy, 26(10).

Berestycki, J. et al. (2024) “The Yaglom limit for branching Brownian motion with absorption and slightly subcritical drift.”

Aminian, G. et al. (2024) “Generalization error of graph neural networks in the mean-field regime”, in Proceedings of the 41st International Conference on Machine Learning (ICML 2024). Proceedings of Machine Learning Research, pp. 1359–1391.

Clarkson, J. et al. (2024) “Split Conformal Prediction under Data Contamination”, arXiv.