Individual Fairness in Pipelines

Ilvento Christina
Ilvento Christina
Jagadeesan Meena
Jagadeesan Meena

FORC, 2020.

Cited by: 0|Bibtex|Views21|DOI:https://doi.org/10.4230/LIPIcs.FORC.2020.7
EI
Other Links: arxiv.org|dblp.uni-trier.de

Abstract:

It is well understood that a system built from individually fair components may not itself be individually fair. In this work, we investigate individual fairness under pipeline composition. Pipelines differ from ordinary sequential or repeated composition in that individuals may drop out at any stage, and classification in subsequent st...More

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