A covariance quantity is proven exactly equal to a subgroup-fairness gap for clustering, yielding COVA-FC, a scalable algorithm that can also enforce marginal fairness.
A sequentially fair mechanism for multiple sensitive attributes.Proceedings of the AAAI Conference on Artificial Intelligence, 38(11): 12502–12510, March 2024
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COVAriance-Induced Fairness Gap Penalty for Subgroup-Fair Clustering
A covariance quantity is proven exactly equal to a subgroup-fairness gap for clustering, yielding COVA-FC, a scalable algorithm that can also enforce marginal fairness.