Optimal Transport of Classifiers to Fairness: Appendix A Derivations and Proofs

Neural Information Processing Systems 

It is then longer interesting as a fairness regularization term. Y et, our intention is to avoid transports between inputs that are highly dissimilar. In our formulation, we use Eq. The data is highly anonymized. The task is to predict whether an individual earns more than $50K/yr.

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