For demographic parity and binary cross-entropy loss, the paper gives a closed-form upper bound for the loss-fairness Pareto frontier, used as a scaling law to audit large models without training them.
SAS Analytics Inc., January 2019
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Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
For demographic parity and binary cross-entropy loss, the paper gives a closed-form upper bound for the loss-fairness Pareto frontier, used as a scaling law to audit large models without training them.