Chi Tran

Probabilistic Linear Explanations

This work presents a unified framework for probabilistic explainability based on sparse, anchored linear models, applicable to both binary classification and continuous regression, and addresses the resulting empirical problem using a Mixed Integer Programming formulation that yields provably optimal empirical solution...