Problems with Shapley-value-based explanations as feature importance measures

Authors

Elizabeth Kumar
Suresh Venkatasubramanian
Carlos Scheidegger
Sorelle Friedler, Haverford CollegeFollow

Document Type

Conference Proceeding

Role

Contributor

Journal Title

Proceedings of the 37th International Conference on Machine Learning

Volume

119

Publication Date

2020

Repository Citation

Kumar, E.; Venkatasubramanian, S.; Scheidegger, C.; Friedler, S.A. (2020). "Problems with Shapley-value-based explanations as feature importance measures." Proceedings of the 37th International Conference on Machine Learning 119.