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Probabilistic Fair Clustering

Probabilistic Fair Clustering

19 June 2020
Seyed-Alireza Esmaeili
Brian Brubach
Leonidas Tsepenekas
John P. Dickerson
    FaML
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Papers citing "Probabilistic Fair Clustering"

8 / 8 papers shown
Title
Fair Correlation Clustering in Forests
Fair Correlation Clustering in Forests
Katrin Casel
Tobias Friedrich
Martin Schirneck
Simon Wietheger
FaML
24
2
0
22 Feb 2023
Fair Minimum Representation Clustering
Fair Minimum Representation Clustering
Connor Lawless
Oktay Gunluk
FaML
35
2
0
06 Feb 2023
Fair Ranking with Noisy Protected Attributes
Fair Ranking with Noisy Protected Attributes
Anay Mehrotra
Nisheeth K. Vishnoi
23
16
0
30 Nov 2022
Fair Labeled Clustering
Fair Labeled Clustering
Seyed-Alireza Esmaeili
Sharmila Duppala
John P. Dickerson
Brian Brubach
FaML
16
3
0
28 May 2022
Fair Representation Clustering with Several Protected Classes
Fair Representation Clustering with Several Protected Classes
Zhen Dai
Yury Makarychev
A. Vakilian
FaML
63
9
0
03 Feb 2022
A survey on datasets for fairness-aware machine learning
A survey on datasets for fairness-aware machine learning
Tai Le Quy
Arjun Roy
Vasileios Iosifidis
Wenbin Zhang
Eirini Ntoutsi
FaML
11
240
0
01 Oct 2021
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
4,203
0
23 Aug 2019
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
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