Amedeo Roberto Esposito

IEEE Trans. Inf. Theory, July, 2026

A Finite-Sample Strong Converse for Binary Hypothesis Testing via (Reverse) Rényi Divergence.

[BibT_eX]

[DOI]

Roberto Bruno

CoRR, January, 2026

Contraction of Rényi Divergences for Discrete Channels: Properties and Applications.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

Geometric Convergence Analysis of Variational Inference via Bregman Divergences.

[BibT_eX]

[DOI]

Sushil Bohara

CoRR, October, 2025

2024

Lower Bounds on the Bayesian Risk via Information Measures.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Marco Mondelli

CoRR, 2024

Properties of the Strong Data Processing Constant for Rényi Divergence.

[BibT_eX]

[DOI]

Lifu Jin

Proceedings of the IEEE International Symposium on Information Theory, 2024

Variational Characterizations of Sibson's α-Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2024

Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo (Extended Abstract).

[BibT_eX]

[DOI]

Marco Mondelli

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Concentration without Independence via Information Measures.

[BibT_eX]

[DOI]

Marco Mondelli

Proceedings of the IEEE International Symposium on Information Theory, 2023

Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

A Functional Perspective on Information Measures.

[BibT_eX]

[DOI]

PhD thesis, 2022

Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

On Sibson's α-Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

From Generalisation Error to Transportation-cost Inequalities and Back.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Generalization Error Bounds via Rényi-, f-Divergences and Maximal Leakage.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

On conditional Sibson's α-Mutual Information.

[BibT_eX]

[DOI]

Diyuan Wu

CoRR, 2021

On conditional Sibson's $\alpha$ -Mutual Information.

[BibT_eX]

[DOI]

Diyuan Wu

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Robust Generalization via $α$-Mutual Information.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Generalization via f-Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Learning and Adaptive Data Analysis via Maximal Leakage.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Information Theory Workshop, 2019

Strengthened Information-theoretic Bounds on the Generalization Error.

[BibT_eX]

[DOI]