Real-Time Optimisation for Online Learning in Auctions. - Lorenzo Croissant; Marc Abeille; Clément Calauzènes (ICML, 2020)

Diffusive Limit Approximation of Pure-Jump Optimal Stochastic Control Problems. - Marc Abeille; Bruno Bouchard 002; Lorenzo Croissant (J. Optim. Theory Appl., 2023)

Near-continuous time Reinforcement Learning for continuous state-action spaces. - Lorenzo Croissant; Marc Abeille; Bruno Bouchard 002 (ALT, 2024)

Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search. - Ziyad Benomar; Lorenzo Croissant; Vianney Perchet; Spyros Angelopoulos 001 (CoRR, 2025)

Bandit Optimal Transport. - Lorenzo Croissant (CoRR, 2025)