no code implementations • ICLR 2021 • Alexander Vargo, Fan Zhang, Mikhail Yurochkin, Yuekai Sun
Gradient boosting is a popular method for machine learning from tabular data, which arise often in applications where algorithmic fairness is a concern.
Fairness