12 citations · 13 across the 3 of their papers we have counts for
4 papers
The Role of Uncertainty in Assessing the Fairness of Machine Learning Models
Francesca Panero, Ernst C. Wit, Marco Scutari
Machine learning models are widely used in clinical applications, social media, law enforcement and critical infrastructure. Verifying whether their outputs are biased against disa…
Achieving Fairness with a Simple Ridge Penalty
Marco Scutari, Francesca Panero, Manuel Proissl
In this paper we present a general framework for estimating regression models subject to a user-defined level of fairness. We enforce fairness as a model selection step in which we…
Optimal disclosure risk assessment
Federico Camerlenghi, Stefano Favaro, Zacharie Naulet +1
Protection against disclosure is a legal and ethical obligation for agencies releasing microdata files for public use. Consider a microdata sample of size from a finite populat…
On sparsity, power-law and clustering properties of graphex processes
François Caron, Francesca Panero, Judith Rousseau
This paper investigates properties of the class of graphs based on exchangeable point processes. We provide asymptotic expressions for the number of edges, number of nodes and degr…