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Amedeo Roberto Esposito
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Cited by
Cited by
Year
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
732021
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
302019
Robust Generalization via -Mutual Information
AR Esposito, M Gastpar, I Issa
International Zurich Seminar on Information and Communication (IZS …, 2020
212020
On conditional Sibson's -Mutual Information
AR Esposito, D Wu, M Gastpar
2021 IEEE International Symposium on Information Theory (ISIT), 1796-1801, 2021
92021
Robust Generalization via f− Mutual Information
AR Esposito, M Gastpar, I Issa
2020 IEEE International Symposium on Information Theory (ISIT), 2723-2728, 2020
92020
Lower-bounds on the Bayesian Risk in estimation procedures via Sibson's -Mutual Information
AR Esposito, M Gastpar
2021 IEEE International Symposium on Information Theory (ISIT), 748-753, 2021
72021
A new approach to adaptive data analysis and learning via maximal leakage
AR Esposito, M Gastpar, I Issa
arXiv preprint arXiv:1903.01777, 2019
72019
From Generalisation Error to Transportation-cost Inequalities and Back
AR Esposito, M Gastpar
2022 IEEE International Symposium on Information Theory (ISIT), 294-299, 2022
62022
On sibson’s α-mutual information
AR Esposito, A Vandenbroucque, M Gastpar
2022 IEEE International Symposium on Information Theory (ISIT), 2904-2909, 2022
52022
Concentration without independence via information measures
AR Esposito, M Mondelli
IEEE Transactions on Information Theory, 2024
42024
Learning and adaptive data analysis via maximal leakage
AR Esposito, M Gastpar, I Issa
2019 IEEE Information Theory Workshop (ITW), 1-5, 2019
42019
Information measures, learning and generalization
M Gastpar, AR Esposito, I Issa
5th London Symposium on Information Theory, 2019
22019
Lower Bounds on the Bayesian Risk via Information Measures
AR Esposito, A Vandenbroucque, M Gastpar
arXiv preprint arXiv:2303.12497, 2023
12023
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage
I Issa, AR Esposito, M Gastpar
arXiv preprint arXiv:2302.14518, 2023
12023
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
12022
A Functional Perspective on Information Measures
AR Esposito
EPFL, 2022
12022
Properties of the Strong Data Processing Constant for R\'enyi Divergence
L Jin, AR Esposito, M Gastpar
arXiv preprint arXiv:2403.10656, 2024
2024
Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo
AR Esposito, M Mondelli
arXiv preprint arXiv:2402.11200, 2024
2024
Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms
I Issa, AR Esposito, M Gastpar
The Thirty Sixth Annual Conference on Learning Theory, 4952-4976, 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
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Articles 1–20