Generalization Error Bounds via Rényi-, f -Divergences and Maximal Leakage AR Esposito, M Gastpar, I Issa
IEEE Transactions on Information Theory 67 (8), 4986-5004, 2021
61 2021 Strengthened information-theoretic bounds on the generalization error I Issa, AR Esposito, M Gastpar
2019 IEEE International Symposium on Information Theory (ISIT), 582-586, 2019
25 2019 Robust Generalization via AR Esposito, M Gastpar, I Issa
International Zurich Seminar on Information and Communication (IZS …, 2020
15 2020 On conditional Sibson's AR Esposito, D Wu, M Gastpar
2021 IEEE International Symposium on Information Theory (ISIT), 1796-1801, 2021
7 2021 A new approach to adaptive data analysis and learning via maximal leakage AR Esposito, M Gastpar, I Issa
arXiv preprint arXiv:1903.01777, 2019
7 2019 Lower-bounds on the Bayesian Risk in estimation procedures via Sibson's AR Esposito, M Gastpar
2021 IEEE International Symposium on Information Theory (ISIT), 748-753, 2021
6 2021 Robust Generalization via f− Mutual Information AR Esposito, M Gastpar, I Issa
2020 IEEE International Symposium on Information Theory (ISIT), 2723-2728, 2020
6 2020 From Generalisation Error to Transportation-cost Inequalities and Back AR Esposito, M Gastpar
2022 IEEE International Symposium on Information Theory (ISIT), 294-299, 2022
4 2022 Learning and adaptive data analysis via maximal leakage AR Esposito, M Gastpar, I Issa
2019 IEEE Information Theory Workshop (ITW), 1-5, 2019
4 2019 On Sibson’s α-Mutual Information AR Esposito, A Vandenbroucque, M Gastpar
2022 IEEE International Symposium on Information Theory (ISIT), 2904-2909, 2022
3 2022 Concentration without Independence via Information Measures AR Esposito, M Mondelli
arXiv preprint arXiv:2303.07245, 2023
2 2023 Information measures, learning and generalization M Gastpar, AR Esposito, I Issa
5th London Symposium on Information Theory, 2019
2 2019 Lower-bounds on the Bayesian Risk in Estimation Procedures via f–Divergences A Vandenbroucque, AR Esposito, M Gastpar
2022 IEEE International Symposium on Information Theory (ISIT), 1106-1111, 2022
1 2022 Lower Bounds on the Bayesian Risk via Information Measures AR Esposito, A Vandenbroucque, M Gastpar
arXiv preprint arXiv:2303.12497, 2023
2023 Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms I Issa, AR Esposito, M Gastpar
arXiv preprint arXiv:2302.14518, 2023
2023 Towards a Standard Testing Data Set in Privacy AR Esposito
Proceedings of the Symposium on Open Data and Knowledge for a Post-Pandemic …, 2022
2022 A Functional Perspective on Information Measures AR Esposito
EPFL, 2022
2022 SHANNON THEORY AND INFORMATION MEASURES RF Ferreira, GR Kurri, VM Prabhakaran, AD Sarwate, T Niu, K Li, L Qu, ...
Michael GastparProfessor, Ecole Polytechnique Fédérale (EPFL), SwitzerlandПотвърден имейл адрес: epfl.ch
