Est-il nécessaire (et utile) d’être en guerre contre tout ?

Melting contestation: insurance fairness and machine learning

A Sequentially Fair Mechanism for Multiple Sensitive Attributes

Addressing Fairness and Explainability in Image Classification Using Optimal Transport

Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory

“Notre maison brûle et”… nous espérons que notre assureur ne regarde pas ailleurs

Optimal vaccination policy to prevent endemicity: a stochastic model

Mitigating Discrimination in Insurance with Wasserstein Barycenters