Publications

Saravanan, A. et al. (2026) “DiffBED: Scaling Bayesian Experimental Design to High-Dimensions”, in.

Clerico, E., Flynn, H. and Rebeschini, P. (2026) “Uniform mean estimation for monotonic processes”, Statistics & Probability Letters, 228, pp. 110558–110558.

Reinert, G. (2026) “Gesine Reinert’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al’”, Journal of the Royal Statistical Society Series B Statistical Methodology, p. qkag008.

Reichelt, T., Rainforth, T. and Watson-Parris, D. (2026) “Calibration of climate model parameterizations using Bayesian experimental design”, Machine Learning: Earth, 2(1), pp. 015003–015003.

Zhang, R. and Reinert, G. (2025) “A Duplication–Divergence Hypergraph Model for Protein Complex Data”, Complexities, 1(1), pp. 7–7.

Aslett, L. et al. (2025) “DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research”, Data, 10(12), pp. 195–195.

Johnson, E. et al. (2025) “Stochastic Shortest Path with Sparse Adversarial Costs.”

Boyer, N., Baudry, D. and Rebeschini, P. (2025) “Best-of-Both Worlds for linear contextual bandits with paid observations”, arXiv.

Aminian, G. et al. (2025) “Generalization and robustness of the tilted empirical risk”, in Proceedings of the 42nd International Conference on Machine Learning. PMLR, pp. 1419–1461.