NeurIPS 2020

Fair regression via plug-in estimator and recalibration with statistical guarantees

Meta Review

All reviewers agree that this is a solid piece of work, with a theoretically well-motivated proposal for getting a fair regressor from an unconstrained estimator. Please follow the advice of Rev #2 by accompanying the theoretical results with comments explaining their precise context of validity (e.g. exact optimality of Lagrange multiplier), to avoid future misuse of your results.