Fair Labeled Clustering

no code implementations • 28 May 2022 • Seyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach

To ensure group fairness in such a setting, we would desire proportional group representation in every label but not necessarily in every cluster as is done in group fair clustering.

Clustering Fairness

Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual

no code implementations • 16 Jan 2022 • Seyed A. Esmaeili, Sharmila Duppala, Davidson Cheng, Vedant Nanda, Aravind Srinivasan, John P. Dickerson

Since fairness has become an important consideration that was ignored in the existing algorithms a collection of online matching algorithms have been developed that give a fair treatment guarantee for one side of the market at the expense of a drop in the operator's profit.

Fairness Vocal Bursts Valence Prediction