2022
Constraint-Driven Explanations for Black-Box ML Models
Aditya A. Shrotri, Nina Narodytska, Alexey Ignatiev, Kuldeep S Meel, Joao Marques-Silva, Moshe Y. Vardi
AAAI 2022technical
The need to understand the inner workings of opaque Machine Learning models has prompted researchers to devise various types of post-hoc explanations. A large class of such explainers proceed in two phases: first perturb an input instance whose explanation is sought, and then generate an interpretab…