Fondation SCOR, Fairness of predictive models: an application to insurance markets

Fairness Explainability using Optimal Transport with Applications in Image Classification

Parametric Fairness with Statistical Guarantees

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

On Learning in the Presence of Underrepresented Groups

Mitigating Discrimination in Insurance with Wasserstein Barycenters

Fairness in Multi-Task Learning via Wasserstein Barycenters