Learning a Formula of Interpretability to Learn Interpretable Formulas

Marco Virgolin, Andrea De Lorenzo, Eric Medvet +1

Many risk-sensitive applications require Machine Learning (ML) models to be interpretable. Attempts to obtain interpretable models typically rely on tuning, by trial-and-error, hyp…