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Publications

Cortinovis, S. and Caron, F. (2026) “FAB-PPI: Frequentist, assisted by Bayes, prediction-powered inference”, in Proceedings of the 42nd International Conference on Machine Learning. Journal of Machine Learning Research.
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.
Vary, S. et al. (2026) “On-Average Stability of Multipass Preconditioned SGD and Effective Dimension”, in Proceedings of Machine Learning Research.
Lévy, L. et al. (2026) “Self-Concordant Perturbations for Linear Bandits”, in Proceedings of Machine Learning Research.
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.
Lévy, 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.