14 citations · 27 across the 17 of their papers we have counts for
3 papers · 1 filter
Lower Bounds on the Bayesian Risk via Information Measures
Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
This paper focuses on parameter estimation and introduces a new method for lower bounding the Bayesian risk. The method allows for the use of virtually \emph{any} information measu…
Concentration without Independence via Information Measures
Amedeo Roberto Esposito, Marco Mondelli
We propose a novel approach to concentration for non-independent random variables. The main idea is to ``pretend'' that the random variables are independent and pay a multiplicativ…
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage
Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar
We adopt an information-theoretic framework to analyze the generalization behavior of the class of iterative, noisy learning algorithms. This class is particularly suitable for stu…