Amedeo Roberto Esposito

34 papers A* 2B 11Journal 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Finite-Sample Strong Converse for Binary Hypothesis Testing via (Reverse) Rényi Divergence.
CoRR
Roberto Bruno, Adrien Vandenbroucque, Amedeo Roberto Esposito
2026 J jnl
Contraction of Rényi Divergences for Discrete Channels: Properties and Applications.
CoRR
Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar
2025 J jnl
Geometric Convergence Analysis of Variational Inference via Bregman Divergences.
CoRR
Sushil Bohara, Amedeo Roberto Esposito
2024 J jnl
Concentration Without Independence via Information Measures.
IEEE Trans. Inf. Theory
Amedeo Roberto Esposito, Marco Mondelli
2024 A* conf
Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo (Extended Abstract).
COLT
Amedeo Roberto Esposito, Marco Mondelli
2024 J jnl
Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo.
CoRR
Amedeo Roberto Esposito, Marco Mondelli
2024 J jnl
Lower Bounds on the Bayesian Risk via Information Measures.
J. Mach. Learn. Res.
Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
2024 B conf
Properties of the Strong Data Processing Constant for Rényi Divergence.
ISIT
Lifu Jin, Amedeo Roberto Esposito, Michael Gastpar
2024 J jnl
Properties of the Strong Data Processing Constant for Rényi Divergence.
CoRR
Lifu Jin, Amedeo Roberto Esposito, Michael Gastpar
2024 J jnl
Sibson's α-Mutual Information and its Variational Representations.
CoRR
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2024 B conf
Variational Characterizations of Sibson's α-Mutual Information.
ISIT
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2023 A* conf
Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms.
COLT
Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar
2023 J jnl
Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms.
CoRR
Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar
2023 B conf
Concentration without Independence via Information Measures.
ISIT
Amedeo Roberto Esposito, Marco Mondelli
2023 J jnl
Concentration without Independence via Information Measures.
CoRR
Amedeo Roberto Esposito, Marco Mondelli
2023 J jnl
Lower Bounds on the Bayesian Risk via Information Measures.
CoRR
Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
2022 — —
A Functional Perspective on Information Measures.
Amedeo Roberto Esposito
2022 B conf
From Generalisation Error to Transportation-cost Inequalities and Back.
ISIT
Amedeo Roberto Esposito, Michael Gastpar
2022 J jnl
From Generalisation Error to Transportation-cost Inequalities and Back.
CoRR
Amedeo Roberto Esposito, Michael Gastpar
2022 B conf
Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences.
ISIT
Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar
2022 J jnl
Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences.
CoRR
Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar
2022 B conf
On Sibson's α-Mutual Information.
ISIT
Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
2022 J jnl
On Sibson's α-Mutual Information.
CoRR
Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
2021 J jnl
Generalization Error Bounds via Rényi-, f-Divergences and Maximal Leakage.
IEEE Trans. Inf. Theory
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2021 B conf
Lower-bounds on the Bayesian Risk in estimation procedures via Sibson's $\alpha$-Mutual Information.
ISIT
Amedeo Roberto Esposito, Michael Gastpar
2021 B conf
On conditional Sibson's $\alpha$ -Mutual Information.
ISIT
Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar
2021 J jnl
On conditional Sibson's α-Mutual Information.
CoRR
Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar
2020 J jnl
Robust Generalization via $α$-Mutual Information.
CoRR
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2020 B conf
Robust Generalization via f-Mutual Information.
ISIT
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2019 J jnl
A New Approach to Adaptive Data Analysis and Learning via Maximal Leakage.
CoRR
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2019 J jnl
Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage.
CoRR
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2019 B conf
Learning and Adaptive Data Analysis via Maximal Leakage.
ITW
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2019 B conf
Strengthened Information-theoretic Bounds on the Generalization Error.
ISIT
Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar
2019 J jnl
Strengthened Information-theoretic Bounds on the Generalization Error.
CoRR
Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar