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A Notion of Individual Fairness for Clustering

A Notion of Individual Fairness for Clustering

8 June 2020
Matthäus Kleindessner
Pranjal Awasthi
Jamie Morgenstern
    FaML
ArXivPDFHTML

Papers citing "A Notion of Individual Fairness for Clustering"

7 / 7 papers shown
Title
Fair Clustering: A Causal Perspective
Fair Clustering: A Causal Perspective
Fritz M. Bayer
Drago Plečko
N. Beerenwinkel
Jack Kuipers
FaML
25
0
0
14 Dec 2023
Fair Spatial Indexing: A paradigm for Group Spatial Fairness
Fair Spatial Indexing: A paradigm for Group Spatial Fairness
Sina shaham
Gabriel Ghinita
Cyrus Shahabi
23
0
0
05 Feb 2023
Constant-Factor Approximation Algorithms for Socially Fair
  $k$-Clustering
Constant-Factor Approximation Algorithms for Socially Fair kkk-Clustering
Mehrdad Ghadiri
Mohit Singh
Santosh Vempala
19
10
0
22 Jun 2022
Exploring Rawlsian Fairness for K-Means Clustering
Exploring Rawlsian Fairness for K-Means Clustering
Stanley Simoes
Deepak P
Muiris Maccarthaigh
FaML
22
3
0
04 May 2022
Models and Mechanisms for Spatial Data Fairness
Models and Mechanisms for Spatial Data Fairness
Sina shaham
Gabriel Ghinita
Cyrus Shahabi
21
9
0
04 Apr 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
Approximating Fair Clustering with Cascaded Norm Objectives
Approximating Fair Clustering with Cascaded Norm Objectives
E. Chlamtác
Yury Makarychev
A. Vakilian
81
24
0
08 Nov 2021
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