Strengthened Information-theoretic Bounds on the Generalization Error. - Ibrahim Issa; Amedeo Roberto Esposito; Michael Gastpar (ISIT, 2019)

Learning and Adaptive Data Analysis via Maximal Leakage. - Amedeo Roberto Esposito; Michael Gastpar; Ibrahim Issa (ITW, 2019)

A New Approach to Adaptive Data Analysis and Learning via Maximal Leakage. - Amedeo Roberto Esposito; Michael Gastpar; Ibrahim Issa (CoRR, 2019)

Robust Generalization via f-Mutual Information. - Amedeo Roberto Esposito; Michael Gastpar; Ibrahim Issa (ISIT, 2020)

Robust Generalization via $α$-Mutual Information. - Amedeo Roberto Esposito; Michael Gastpar; Ibrahim Issa (CoRR, 2020)

Lower-bounds on the Bayesian Risk in estimation procedures via Sibson's $ alpha$-Mutual Information. - Amedeo Roberto Esposito; Michael Gastpar (ISIT, 2021)

On conditional Sibson's $ alpha$ -Mutual Information. - Amedeo Roberto Esposito; Diyuan Wu; Michael Gastpar (ISIT, 2021)

On conditional Sibson's α-Mutual Information. - Amedeo Roberto Esposito; Diyuan Wu; Michael Gastpar (CoRR, 2021)

Generalization Error Bounds via Rényi-, f-Divergences and Maximal Leakage. - Amedeo Roberto Esposito; Michael Gastpar; Ibrahim Issa (IEEE Trans. Inf. Theory, 2021)

From Generalisation Error to Transportation-cost Inequalities and Back. - Amedeo Roberto Esposito; Michael Gastpar (ISIT, 2022)

On Sibson's α-Mutual Information. - Amedeo Roberto Esposito; Adrien Vandenbroucque; Michael Gastpar (ISIT, 2022)

Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences. - Adrien Vandenbroucque; Amedeo Roberto Esposito; Michael Gastpar (ISIT, 2022)

A Functional Perspective on Information Measures. - Amedeo Roberto Esposito (2022)

Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms. - Ibrahim Issa; Amedeo Roberto Esposito; Michael Gastpar (COLT, 2023)

Lower Bounds on the Bayesian Risk via Information Measures. - Amedeo Roberto Esposito; Adrien Vandenbroucque; Michael Gastpar (CoRR, 2023)

Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo (Extended Abstract). - Amedeo Roberto Esposito; Marco Mondelli (COLT, 2024)

Variational Characterizations of Sibson's α-Mutual Information. - Amedeo Roberto Esposito; Michael Gastpar; Ibrahim Issa (ISIT, 2024)

Properties of the Strong Data Processing Constant for Rényi Divergence. - Lifu Jin; Amedeo Roberto Esposito; Michael Gastpar (ISIT, 2024)

Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo. - Amedeo Roberto Esposito; Marco Mondelli (CoRR, 2024)

Sibson's α-Mutual Information and its Variational Representations. - Amedeo Roberto Esposito; Michael Gastpar; Ibrahim Issa (CoRR, 2024)

Concentration Without Independence via Information Measures. - Amedeo Roberto Esposito; Marco Mondelli (IEEE Trans. Inf. Theory, 2024)