A new classifier derived from determinism and statistical consistency requirements achieves zero consistency error by construction and outperforms baselines on Adult, COMPAS, and Bank Marketing datasets.
Bayesian Modelling of Intersectional Fairness: The Variance of Bias
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Towards Provably Fair Machine Learning: Bayesian Approaches For Consistent and Transparent Predictions
A new classifier derived from determinism and statistical consistency requirements achieves zero consistency error by construction and outperforms baselines on Adult, COMPAS, and Bank Marketing datasets.