Esposito Emmanuel

ONLINE LEARNING, UNIFORM CONVERGENCE, AND A THEORY OF INTERPRETABILITY / E. Esposito ; supervisor: N. Cesa-Bianchi ; co-supervisor: M. Pontil ; coordinatore: R. Sassi. Dipartimento di Informatica Giovanni Degli Antoni, 2024 Dec 05. 37. ciclo

A Theory of Interpretable Approximations / M. Bressan, N. Cesa Bianchi, E. Esposito, Y. Mansour, S. Moran, M. Thiessen (PROCEEDINGS OF MACHINE LEARNING RESEARCH). - In: The Thirty Seventh Annual Conference on Learning Theory / [a cura di] S. Agrawal, A. Roth. - [s.l] : PMLR, 2024. - pp. 648-668 (( Intervento presentato al 37. convegno Conference on Learning Theory tenutosi a Edmonton nel 2024.

Efficient Algorithms for Learning Monophonic Halfspaces in Graphs / M. Bressan, E. Esposito, M. Thiessen (PROCEEDINGS OF MACHINE LEARNING RESEARCH). - In: The Thirty Seventh Annual Conference on Learning Theory / [a cura di] S. Agrawal, A. Roth. - [s.l] : ML Research Press, 2024. - pp. 669-696 (( Intervento presentato al 37. convegno Conference on Learning Theory tenutosi a Edmonton nel 2024.

Delayed Bandits: When Do Intermediate Observations Help? / E. Esposito, S. Masoudian, H. Qiu, D. VAN DER HOEVEN, N. Cesa-Bianchi, Y. Seldin (PROCEEDINGS OF MACHINE LEARNING RESEARCH). - In: ICML / [a cura di] A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato, J. Scarlett. - [s.l] : PMLR, 2023. - pp. 9374-9395 (( Intervento presentato al 40. convegno International Conference on Machine Learning : 23 through 29 July tenutosi a Honolulu nel 2023.

On the Minimax Regret for Online Learning with Feedback Graphs / K. Eldowa, E. Esposito, T. Cesari, N. Cesa Bianchi (ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS). - In: Advances in Neural Information Processing Systems. 36 / [a cura di] A. Oh, T. Neumann, A. Globerson, K. Saenko, M. Hardt, S. Levine. - [s.l] : Curran Associates, 2023. - pp. 46122-46133 (( Intervento presentato al 37. convegno Neural Information Processing Systems tenutosi a 2023 nel 2023.