Emmanuel Esposito

Postdoc at LAILA, University of Milan
Email: emmanuel [at] emmanuelesposito [dot] it

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Room 7023

Via Celoria, 18

Milan, Italy

I am Postdoctoral Researcher at LAILA (University of Milan) hosted by Nicolò Cesa-Bianchi. Previously, I obtained my PhD in Computer Science at the University of Milan and the Italian Institute of Technology, where I was fortunate to be supervised by Nicolò Cesa-Bianchi and Massimiliano Pontil.

My research interests broadly lie in Online Learning and Machine Learning Theory. One of the key focuses of my research is to understand the interplay between feedback models and the hardness of sequential decision-making problems. I am also generally interested in their intersection with other areas of machine learning, such as Reinforcement Learning, Game Theory, and Optimization.

News

Sep 22, 2023 Our paper “On the Minimax Regret for Online Learning with Feedback Graphs” (arXiv) has been accepted as a Spotlight at NeurIPS 2023. See you in New Orleans!
Sep 12, 2023 Our ICML 2023 paper has been accepted at EWRL 2023. See you in Brussels!
Sep 08, 2023 I’ll be visiting the University of Amsterdam.

Recent publications

  1. When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
    Antoine Moulin*, Emmanuel Esposito*, and Dirk van der Hoeven
    Advances in Neural Information Processing Systems (NeurIPS), 2025
  2. Exploiting Curvature in Online Convex Optimization with Delayed Feedback
    Hao Qiu*, Emmanuel Esposito*, and Mengxiao Zhang*
    Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025
  3. A Fine-grained Characterization of PAC Learnability
    Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, and Maximilian Thiessen
    Proceedings of the 38th Conference on Learning Theory (COLT), 2025
  4. Of Dice and Games: A Theory of Generalized Boosting
    Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, and Maximilian Thiessen
    Proceedings of the 38th Conference on Learning Theory (COLT), 2025
  5. NeurIPS
    Spotlight Paper
    On the Minimax Regret for Online Learning with Feedback Graphs
    Khaled Eldowa*, Emmanuel Esposito*, Tommaso Cesari, and Nicolò Cesa-Bianchi
    Advances in Neural Information Processing Systems (NeurIPS), 2023