Publications
Preprints
- "Concentration without Independence via Information Measures", Amedeo Roberto Esposito, Marco Mondelli, Arxiv Pre-print, LINK
- "Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms", Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar, Arxiv Pre-print, LINK
- "A new approach to adaptive data analysis and learning via maximal leakage", Amedeo Roberto Esposito, Ibrahim Issa, Michael Gastpar, Arxiv Pre-print, LINK
Journals & Conferences
- "Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage", Amedeo Roberto Esposito, Ibrahim Issa, Michael Gastpar, in IEEE Transactions on Information Theory Volume: 67, Issue: 8, LINK
- "Towards a Standard Testing Data Set in Privacy", Amedeo Roberto Esposito, in BCS Learning & Development, LINK
- "On Sibson’s α-Mutual Information", Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar in 2022 IEEE International Symposium on Information Theory (ISIT), LINK
- "Lower-bounds on the Bayesian Risk in Estimation Procedures via f–Divergences", Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar in 2022 IEEE International Symposium on Information Theory (ISIT), LINK
- "From Generalisation Error to Transportation-cost Inequalities and Back", Amedeo Roberto Esposito, Michael Gastpar in 2022 IEEE International Symposium on Information Theory (ISIT), LINK
- "Lower-bounds on the Bayesian Risk in estimation procedures via Sibson's α-Mutual Information", Amedeo Roberto Esposito, Michael Gastpar in 2021 IEEE International Symposium on Information Theory (ISIT), LINK
- "On conditional Sibson's α-Mutual Information", Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar in 2021 IEEE International Symposium on Information Theory (ISIT), LINK
- "Robust Generalization via f− Mutual Information", Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa in 2020 IEEE International Symposium on Information Theory (ISIT), LINK
- "Robust Generalization via α− Mutual Information", Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa in 2020 International Zurich Seminar on Information and Communication, LINK
- "Learning and adaptive data analysis via maximal leakage", Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa in 2019 IEEE Information Theory Workshop (ITW), LINK
- "Strengthened information-theoretic bounds on the generalization error", Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar in 2019 IEEE International Symposium on Information Theory (ISIT), LINK