Controlling for Unobserved Confounds in Classification Using Correlational Constraints

no code implementations • 5 Mar 2017 • Virgile Landeiro, Aron Culotta

In response, we propose a method to properly control for the influence of $z$ by first estimating its relationship with the class variable $y$, then updating predictions for $z$ to match that estimated relationship.

Classification General Classification