Actionable Recourse in Linear Classification.

Explainable AI
Counterfactual Explanations
Paper
Author

Published

January 1, 2019

Description

Ustun, Spangher, and Liu (2019) propose a framework for actionable recourse in the context of linear classifiers.

References

Ustun, Berk, Alexander Spangher, and Yang Liu. 2019. “Actionable Recourse in Linear Classification.” In Proceedings of the Conference on Fairness, Accountability, and Transparency, 10–19.