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Publications

Ong, E.-J. et al. (2026) “A Universal Nearest-Neighbor Estimator for Intrinsic Dimensionality.”
Balasubramanian, K. et al. (2026) “Stein’s Method in Stochastic Geometry, Statistical Learning, and Optimisation”, Oberwolfach Reports, 22(3), pp. 2125–2140.
Kozyra, M. and Reinert, G. (2026) “TASTE: Task-Aware Out-of-Distribution Detection via Stein Operators.”
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, pp. qkag008 - 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.
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.
Homberg, S. et al. (2026) “Interpreting Graph Neural Networks with Myerson Values for Cheminformatics Approaches”, in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING. ICANN 2025 INTERNATIONAL WORKSHOPS AND SPECIAL SESSIONS, PT V, pp. 232–234.
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.