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Clustering without Over-Representation

Clustering without Over-Representation

29 May 2019
Sara Ahmadian
Alessandro Epasto
Ravi Kumar
Mohammad Mahdian
ArXivPDFHTML

Papers citing "Clustering without Over-Representation"

25 / 25 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
51
1
0
16 May 2024
From Discrete to Continuous: Deep Fair Clustering With Transferable
  Representations
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations
Xiang Zhang
37
0
0
24 Mar 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group
  Robustness to Spurious Correlations
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
Rwiddhi Chakraborty
Adrian Sletten
Michael C. Kampffmeyer
39
0
0
20 Mar 2024
Fair Clustering: A Causal Perspective
Fair Clustering: A Causal Perspective
Fritz M. Bayer
Drago Plečko
N. Beerenwinkel
Jack Kuipers
FaML
29
0
0
14 Dec 2023
Fair Polylog-Approximate Low-Cost Hierarchical Clustering
Fair Polylog-Approximate Low-Cost Hierarchical Clustering
Marina Knittel
Max Springer
John Dickerson
Mohammadtaghi Hajiaghayi
FaML
29
2
0
21 Nov 2023
Fair Minimum Representation Clustering
Fair Minimum Representation Clustering
Connor Lawless
Oktay Gunluk
FaML
40
2
0
06 Feb 2023
A review of clustering models in educational data science towards
  fairness-aware learning
A review of clustering models in educational data science towards fairness-aware learning
Tai Le Quy
Gunnar Friege
Eirini Ntoutsi
FaML
36
14
0
09 Jan 2023
Cluster-level Group Representativity Fairness in $k$-means Clustering
Cluster-level Group Representativity Fairness in kkk-means Clustering
Stanley Simoes
Deepak P
Muiris Maccarthaigh
FaML
32
0
0
29 Dec 2022
Deep Fair Clustering via Maximizing and Minimizing Mutual Information:
  Theory, Algorithm and Metric
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric
Pengxin Zeng
Yunfan Li
Peng Hu
Dezhong Peng
Jiancheng Lv
Xiaocui Peng
28
13
0
26 Sep 2022
Constant-Factor Approximation Algorithms for Socially Fair
  $k$-Clustering
Constant-Factor Approximation Algorithms for Socially Fair kkk-Clustering
Mehrdad Ghadiri
Mohit Singh
Santosh Vempala
26
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
40
4
0
30 May 2022
Fair Labeled Clustering
Fair Labeled Clustering
Seyed-Alireza Esmaeili
Sharmila Duppala
John P. Dickerson
Brian Brubach
FaML
23
3
0
28 May 2022
Generalized Reductions: Making any Hierarchical Clustering Fair and
  Balanced with Low Cost
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
Marina Knittel
Max Springer
John P. Dickerson
Mohammadtaghi Hajiaghayi
FedML
42
6
0
27 May 2022
On consistency of constrained spectral clustering under
  representation-aware stochastic block model
On consistency of constrained spectral clustering under representation-aware stochastic block model
Shubham Gupta
Ambedkar Dukkipati
54
1
0
03 Mar 2022
Fair Representation Clustering with Several Protected Classes
Fair Representation Clustering with Several Protected Classes
Zhen Dai
Yury Makarychev
A. Vakilian
FaML
78
9
0
03 Feb 2022
CONFAIR: Configurable and Interpretable Algorithmic Fairness
CONFAIR: Configurable and Interpretable Algorithmic Fairness
Ankit Kulshrestha
Ilya Safro
FaML
22
2
0
17 Nov 2021
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
73
8
0
02 Sep 2021
A Stochastic Alternating Balance $k$-Means Algorithm for Fair Clustering
A Stochastic Alternating Balance kkk-Means Algorithm for Fair Clustering
Suyun Liu
Luis Nunes Vicente
35
11
0
29 May 2021
KFC: A Scalable Approximation Algorithm for $k$-center Fair Clustering
KFC: A Scalable Approximation Algorithm for kkk-center Fair Clustering
Elfarouk Harb
Hoi Shan Lam
26
21
0
26 Oct 2020
Fair clustering via equitable group representations
Fair clustering via equitable group representations
Mohsen Abbasi
Aditya Bhaskara
Suresh Venkatasubramanian
FaML
FedML
35
87
0
19 Jun 2020
A Notion of Individual Fairness for Clustering
A Notion of Individual Fairness for Clustering
Matthäus Kleindessner
Pranjal Awasthi
Jamie Morgenstern
FaML
45
30
0
08 Jun 2020
How to Solve Fair $k$-Center in Massive Data Models
How to Solve Fair kkk-Center in Massive Data Models
Ashish Chiplunkar
S. Kale
Sivaramakrishnan Natarajan Ramamoorthy
21
41
0
18 Feb 2020
Fairness in Clustering with Multiple Sensitive Attributes
Fairness in Clustering with Multiple Sensitive Attributes
Savitha Sam
Abraham • Deepak
Sowmya S. Sundaram
FaML
35
42
0
11 Oct 2019
Coresets for Clustering with Fairness Constraints
Coresets for Clustering with Fairness Constraints
Lingxiao Huang
S. Jiang
Nisheeth K. Vishnoi
37
101
0
20 Jun 2019
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