New framework formalizes causal fairness for continuous protected attributes via path-specific derivatives and introduces a tuning algorithm for fair predictors.
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Tuning Derivatives for Causal Fairness in Machine Learning
New framework formalizes causal fairness for continuous protected attributes via path-specific derivatives and introduces a tuning algorithm for fair predictors.