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Improved Approximation for Fair Correlation Clustering

Improved Approximation for Fair Correlation Clustering

9 June 2022
Sara Ahmadian
Maryam Negahbani
    FaMLOOD
ArXiv (abs)PDFHTML

Papers citing "Improved Approximation for Fair Correlation Clustering"

6 / 6 papers shown
Title
Fairness in Machine Learning: A Survey
Fairness in Machine Learning: A Survey
Simon Caton
C. Haas
FaML
106
650
0
04 Oct 2020
Proportionally Fair Clustering
Proportionally Fair Clustering
Xingyu Chen
Brandon Fain
Charles Lyu
Kamesh Munagala
FedMLFaML
71
144
0
09 May 2019
Fair Algorithms for Clustering
Fair Algorithms for Clustering
Suman Kalyan Bera
Deeparnab Chakrabarty
Nicolas J. Flores
Maryam Negahbani
FaMLFedML
75
241
0
08 Jan 2019
Fair Clustering Through Fairlets
Fair Clustering Through Fairlets
Flavio Chierichetti
Ravi Kumar
Silvio Lattanzi
Sergei Vassilvitskii
FaML
75
437
0
15 Feb 2018
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
304
2,131
0
24 Oct 2016
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
212
1,996
0
11 Dec 2014
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