Christopher Jung

Multicalibrated Regression for Downstream Fairness

2023

We show how to take a regression function that is appropriately multicalibrated and efficiently post-process it into an approximately error minimizing classifier satisfying a large variety of fairness constraints. The post-processing requires no labeled data, …