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Publications

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.
Aminian, G. et al. (2025) “FraudTransformer: Time-Aware GPT for Transaction Fraud Detection.”
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.