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Publications

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.
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.
Alfano, C. et al. (2025) “Meta-Learning Objectives for Preference Optimization”, in.
Ganjgahi, H. et al. (2025) “AI-driven reclassification of multiple sclerosis progression”, Nature Medicine, 31(10), pp. 3414–3424.
Temcinas, T., Nanda, V. and Reinert, G. (2025) “Goodness-of-fit via count statistics in dense random simplicial complexes”, Foundations of Data Science [Preprint].
Hung, E., Mantziou, A. and Reinert, G. (2025) “A Bayesian mixture model for Poisson network autoregression”, Social Network Analysis and Mining, 15(1).