Model Learning with Personalized Interpretability Estimation (ML-PIE)

Marco Virgolin, Andrea De Lorenzo, Francesca Randone +2

High-stakes applications require AI-generated models to be interpretable. Current algorithms for the synthesis of potentially interpretable models rely on objectives or regularizat…