A gradient-based algorithm learns feature representations to enable efficient post-hoc fairness-accuracy trade-offs in classification without retraining.
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Fair Classification with Efficient and Post-hoc Controllable Fairness-Accuracy Trade-off
A gradient-based algorithm learns feature representations to enable efficient post-hoc fairness-accuracy trade-offs in classification without retraining.