Claims computable MI/CMI bounds on fairness generalization error, but the core derivation uses an invalid variance-based Hoeffding step.
A reductions approach to fair classification
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Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
Claims computable MI/CMI bounds on fairness generalization error, but the core derivation uses an invalid variance-based Hoeffding step.