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portfolio
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publications
Strengthened information-theoretic bounds on the generalization error
Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar
Published in 2019 IEEE International Symposium on Information Theory (ISIT)
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Learning and adaptive data analysis via maximal leakage
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
Published in 2019 IEEE Information Theory Workshop (ITW)
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From Generalisation Error to Transportation-cost Inequalities and Back
Amedeo Roberto Esposito, Michael Gastpar
Published in 2022 IEEE International Symposium on Information Theory (ISIT)
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Lower-bounds on the Bayesian Risk in Estimation Procedures via f–Divergences
Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar
Published in 2022 IEEE International Symposium on Information Theory (ISIT)
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On Sibson’s α-Mutual Information
Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
Published in 2022 IEEE International Symposium on Information Theory (ISIT)
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Towards a Standard Testing Data Set in Privacy
Amedeo Roberto Esposito
Published in BCS Learning & Development
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Robust Generalization via α-Mutuaaal Information
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
Published in 2020 International Zurich Seminar on Information and Communication (IZS)
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Robust Generalization via f−Mutual Information
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
Published in 2020 IEEE International Symposium on Information Theory (ISIT)
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On conditional Sibson’s α-Mutual Information
Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar
Published in 2021 IEEE International Symposium on Information Theory (ISIT)
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Lower-bounds on the Bayesian Risk in estimation procedures via Sibson’s α-Mutual Information
Amedeo Roberto Esposito, Michael Gastpar
Published in 2021 IEEE International Symposium on Information Theory (ISIT)
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Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
Published in IEEE Transactions on Information Theory Volume: 67, Issue: 8
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talks
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teaching
COM-512, Networks out of control
Graduate course, EPFL, 2018
CS-119, Information, Computation, Communication
Undergraduate course, Life sciences, EPFL, 2018
COM-417, Advanced Probability And Applicaitons
Graduate course, EPFL, 2019
COM-406, Foundations of Data Science
Graduate course, EPFL, 2019
EL-205, Signals and systems
Undergraduate course, EPFL, 2020
CS-119, Information, Computation, Communication
Undergraduate course, Life sciences, EPFL, 2020
COM-102, Advanced information, computation, communication II
Undergraduate course, EPFL, 2021
I have been head Teaching Assistant for Advanced information, computation, communication II (AICC2) for two years in a row: spring 2021 and spring 2022. AICC2 is a large undergraduate class (~300 students) with meaningful challenges. Its purpose is to expose first year bachelor students to applied probability theory, information theory, coding theory and cryptography. I was in charge of leading the teaching assistants team (2 PhD students, 10/12 bachelor/master students), coordinating the homework, exam, etc.
Information Theory (for Data Science)
Ph.D. course, ISTA, 2023
I am excited to announce that I am co-teaching (along with Marco Mondelli) the Ph.D. class on Information Theory (for Data Science). The class covers a variety of classical and more modern results with an information-theoretic flavor. We will talk about: Information measures, compression, prediction, estimation, large deviations (Sanov style), multi-armed bandits, exponential families, exploration bias and generalisation error.