Publications

2025

  1. Diffusive limit approximation of pure jump optimal ergodic control problems
    Marc Abeille, Bruno Bouchard, and Lorenzo Croissant
    Stochastic Processes and their Applications Mar 2025
  2. Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search
    Ziyad Benomar, Lorenzo Croissant, Vianney Perchet, and 1 more author
    Feb 2025
  3. Bandit Optimal Transport
    Lorenzo Croissant
    Feb 2025
  4. FeatHawkes: Scalable Feature-Based Attribution For Temporal Event Data
    Remi Verronneau, Lorenzo Croissant, Bartholome Vieille, and 1 more author
    Sep 2025

2024

  1. Near-continuous time Reinforcement Learning for continuous state-action spaces
    Lorenzo Croissant, Marc Abeille, and Bruno Bouchard
    In Proceedings of the 35th International Conference on Algorithmic Learning Theory 25–28 feb 2024

2023

  1. Diffusion limit control and reinforcement learning, with applications to online auctions
    Lorenzo Croissant
    25–28 feb 2023
  2. Reinforcement Learning in near-continuous time for continuous state-action spaces
    Lorenzo Croissant, Marc Abeille, and Bruno Bouchard
    In Sixteenth European Workshop on Reinforcement Learning 25–28 feb 2023

2022

  1. Diffusive limit approximation of pure jump optimal ergodic control problems
    Marc Abeille, Bruno Bouchard, and Lorenzo Croissant
    25–28 feb 2022
  2. Diffusive limit approximation of pure-jump optimal stochastic control problems
    Marc Abeille, Bruno Bouchard, and Lorenzo Croissant
    Journal of Optimization Theory and Applications 25–28 feb 2022

2020

  1. Real-Time Optimisation for Online Learning in Auctions
    Lorenzo Croissant, Marc Abeille, and Clement Calauzenes
    In Proceedings of the 37th International Conference on Machine Learning 13–18 jul 2020