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.
Advancing Subgroup Fairness via Sleeping Experts
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.