A Confidence-Based Approach for Balancing Fairness and Accuracy

Benjamin Fish, Jeremy Kun, Ádám D. Lelkes

We study three classical machine learning algorithms in the context of algorithmic fairness: adaptive boosting, support vector machines, and logistic regression. Our goal is to mai…