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A Canonical Data Transformation for Achieving Inter- and Within-group
  Fairness

A Canonical Data Transformation for Achieving Inter- and Within-group Fairness

23 October 2023
Zachary McBride Lazri
Ivan Brugere
Xin Tian
Dana Dachman-Soled
Antigoni Polychroniadou
Danial Dervovic
Min Wu
ArXivPDFHTML

Papers citing "A Canonical Data Transformation for Achieving Inter- and Within-group Fairness"

2 / 2 papers shown
Title
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,212
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,084
0
24 Oct 2016
1