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.”

Wilsenach, J. et al. (2025) “Graph models of brain state in deep anesthesia reveal sink state dynamics of reduced spatiotemporal complexity”, Network Neuroscience, 9(4), pp. 1176–1198.

LÃ©vy, L. et al. (2025) “Self-Concordant Perturbations for Linear Bandits”, arXiv.

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