This code accompanies the paper

Alan Mishler and Edward H. Kennedy. 2022. FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes. In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22). Association for Computing Machinery, New York, NY, USA, 1053. https://doi.org/10.1145/3531146.3533167.

Arxiv version: https://arxiv.org/abs/2109.00173