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Approximation Algorithms for Socially Fair Clustering

Approximation Algorithms for Socially Fair Clustering

3 March 2021
Yury Makarychev
A. Vakilian
ArXivPDFHTML

Papers citing "Approximation Algorithms for Socially Fair Clustering"

11 / 11 papers shown
Title
A Polynomial-Time Approximation for Pairwise Fair $k$-Median Clustering
A Polynomial-Time Approximation for Pairwise Fair kkk-Median Clustering
Sayan Bandyapadhyay
E. Chlamtác
Yu. S. Makarychev
A. Vakilian
Yury Makarychev
Ali Vakilian
48
1
0
16 May 2024
Fair Clustering: A Causal Perspective
Fair Clustering: A Causal Perspective
Fritz M. Bayer
Drago Plečko
N. Beerenwinkel
Jack Kuipers
FaML
27
0
0
14 Dec 2023
Parameterized Approximation for Robust Clustering in Discrete Geometric
  Spaces
Parameterized Approximation for Robust Clustering in Discrete Geometric Spaces
F. Abbasi
Sandip Banerjee
J. Byrka
Parinya Chalermsook
Ameet Gadekar
K. Khodamoradi
D. Marx
Roohani Sharma
J. Spoerhase
37
5
0
12 May 2023
Parameterized Approximation Schemes for Clustering with General Norm
  Objectives
Parameterized Approximation Schemes for Clustering with General Norm Objectives
F. Abbasi
Sandip Banerjee
J. Byrka
Parinya Chalermsook
Ameet Gadekar
K. Khodamoradi
D. Marx
Roohani Sharma
J. Spoerhase
33
12
0
06 Apr 2023
Fair Minimum Representation Clustering
Fair Minimum Representation Clustering
Connor Lawless
Oktay Gunluk
FaML
35
2
0
06 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
21
10
0
22 Jun 2022
Measuring and mitigating voting access disparities: a study of race and
  polling locations in Florida and North Carolina
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina
Mohsen Abbasi
Suresh Venkatasubramanian
Sorelle A. Friedler
K. Lum
Calvin Barrett
37
3
0
30 May 2022
Fair Representation Clustering with Several Protected Classes
Fair Representation Clustering with Several Protected Classes
Zhen Dai
Yury Makarychev
A. Vakilian
FaML
73
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
89
24
0
08 Nov 2021
Efficient Algorithms For Fair Clustering with a New Fairness Notion
Efficient Algorithms For Fair Clustering with a New Fairness Notion
Shivam Gupta
Ganesh Ghalme
N. C. Krishnan
Shweta Jain
FaML
70
8
0
02 Sep 2021
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
2,091
0
24 Oct 2016
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