Amedeo Roberto Esposito

Orcid: 0000-0002-9478-9852

According to our database1, Amedeo Roberto Esposito authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Concentration Without Independence via Information Measures.
IEEE Trans. Inf. Theory, June, 2024

Sibson's α-Mutual Information and its Variational Representations.
CoRR, 2024

Properties of the Strong Data Processing Constant for Rényi Divergence.
CoRR, 2024

Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo.
CoRR, 2024

Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo (Extended Abstract).
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Lower Bounds on the Bayesian Risk via Information Measures.
CoRR, 2023

Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
A Functional Perspective on Information Measures.
PhD thesis, 2022

Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences.
Proceedings of the IEEE International Symposium on Information Theory, 2022

On Sibson's α-Mutual Information.
Proceedings of the IEEE International Symposium on Information Theory, 2022

From Generalisation Error to Transportation-cost Inequalities and Back.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Generalization Error Bounds via Rényi-, f-Divergences and Maximal Leakage.
IEEE Trans. Inf. Theory, 2021

On conditional Sibson's α-Mutual Information.
CoRR, 2021

On conditional Sibson's $\alpha$ -Mutual Information.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Lower-bounds on the Bayesian Risk in estimation procedures via Sibson's $\alpha$-Mutual Information.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Robust Generalization via $α$-Mutual Information.
CoRR, 2020

Robust Generalization via f-Mutual Information.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
A New Approach to Adaptive Data Analysis and Learning via Maximal Leakage.
CoRR, 2019

Learning and Adaptive Data Analysis via Maximal Leakage.
Proceedings of the 2019 IEEE Information Theory Workshop, 2019

Strengthened Information-theoretic Bounds on the Generalization Error.
Proceedings of the IEEE International Symposium on Information Theory, 2019


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