Esposito, Emmanuel

11 publications

COLT 2025 A Fine-Grained Characterization of PAC Learnability Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen

ICML 2025 Exploiting Curvature in Online Convex Optimization with Delayed Feedback Hao Qiu, Emmanuel Esposito, Mengxiao Zhang

JAIR 2025 Improved Regret Bounds for Bandits with Expert Advice Nicolò Cesa-Bianchi, Khaled Eldowa, Emmanuel Esposito, Julia Olkhovskaya

COLT 2025 Of Dice and Games: A Theory of Generalized Boosting Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen

NeurIPS 2025 When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses Antoine Moulin, Emmanuel Esposito, Dirk van der Hoeven

COLT 2024 A Theory of Interpretable Approximations Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen

NeurIPSW 2024 A Theory of Interpretable Approximations Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen

COLT 2024 Efficient Algorithms for Learning Monophonic Halfspaces in Graphs Marco Bressan, Emmanuel Esposito, Maximilian Thiessen

ICML 2023 Delayed Bandits: When Do Intermediate Observations Help? Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk Van Der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin

NeurIPS 2023 On the Minimax Regret for Online Learning with Feedback Graphs Khaled Eldowa, Emmanuel Esposito, Tom Cesari, Nicolò Cesa-Bianchi

NeurIPS 2022 Learning on the Edge: Online Learning with Stochastic Feedback Graphs Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven, Nicolò Cesa-Bianchi