Publications

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

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.

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

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.

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.

Baudry, D. et al. (2025) “Does stochastic gradient really succeed for bandits?”, in.

Kilian, V., Cortinovis, S. and Caron, F. (2025) “Anytime-valid, Bayes-assisted, prediction-powered inference”, in. Neural Information Processing Systems Foundation.

Alfano, C. et al. (2025) “Meta-Learning Objectives for Preference Optimization”, in.