2 papers
cs.AI2022
Optimizing Binary Decision Diagrams with MaxSAT for classification
Hao Hu, Marie-José Huguet, Mohamed Siala
The growing interest in explainable artificial intelligence (XAI) for critical decision making motivates the need for interpretable machine learning (ML) models. In fact, due to th…
cs.LG2019
Learning Fair Rule Lists
Ulrich Aïvodji, Julien Ferry, Sébastien Gambs +2
As the use of black-box models becomes ubiquitous in high stake decision-making systems, demands for fair and interpretable models are increasing. While it has been shown that inte…