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20192022
most citedA New Approach to Adaptive Data Analysis and Learning via Maximal Leakage

7 citations · 10 across the 5 of their papers we have counts for

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cs.IT2022

From Generalisation Error to Transportation-cost Inequalities and Back

Amedeo Roberto Esposito, Michael Gastpar

In this work, we connect the problem of bounding the expected generalisation error with transportation-cost inequalities. Exposing the underlying pattern behind both approaches we…

cs.IT2022

On Sibson's -Mutual Information

Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar

We explore a family of information measures that stems from Rényi's -Divergences with . In particular, we extend the definition of Sibson's -Mutual Information to negati…

cs.IT2022

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

Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar

We consider the problem of parameter estimation in a Bayesian setting and propose a general lower-bound that includes part of the family of -Divergences. The results are then ap…

cs.IT2021

On conditional Sibson's -Mutual Information

Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar

In this work, we analyse how to define a conditional version of Sibson's -Mutual Information. Several such definitions can be advanced and they all lead to different information…

cs.IT20203 cited

Robust Generalization via -Mutual Information

Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa

The aim of this work is to provide bounds connecting two probability measures of the same event using Rényi -Divergences and Sibson's -Mutual Information, a generalization of…

cs.IT2019

Generalization Error Bounds Via Rényi-, -Divergences and Maximal Leakage

Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa

In this work, the probability of an event under some joint distribution is bounded by measuring it with the product of the marginals instead (which is typically easier to analyze)…