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Individual Fairness for $k$-Clustering
v1v2 (latest)

Individual Fairness for kkk-Clustering

17 February 2020
S. Mahabadi
A. Vakilian
    FaML
ArXiv (abs)PDFHTML

Papers citing "Individual Fairness for $k$-Clustering"

50 / 55 papers shown
Title
A Computational Approach to Improving Fairness in K-means Clustering
A Computational Approach to Improving Fairness in K-means Clustering
Guancheng Zhou
Haiping Xu
Hongkang Xu
Chenyu Li
Donghui Yan
FaML
47
0
0
29 May 2025
A Semidefinite Relaxation Approach for Fair Graph Clustering
A Semidefinite Relaxation Approach for Fair Graph Clustering
Sina Baharlouei
Sadra Sabouri
58
0
0
19 Oct 2024
The Fairness-Quality Trade-off in Clustering
The Fairness-Quality Trade-off in Clustering
Rashida Hakim
Ana-Andreea Stoica
Christos H. Papadimitriou
M. Yannakakis
FaML
87
0
0
19 Aug 2024
Efficient k-means with Individual Fairness via Exponential Tilting
Efficient k-means with Individual Fairness via Exponential Tilting
Shengkun Zhu
Jinshan Zeng
Yuan Sun
Sheng Wang
Xiaodong Li
Zhiyong Peng
89
0
0
24 Jun 2024
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
116
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
90
0
0
24 Mar 2024
Scalable Algorithms for Individual Preference Stable Clustering
Scalable Algorithms for Individual Preference Stable Clustering
Ron Mosenzon
A. Vakilian
80
3
0
15 Mar 2024
A Scalable Algorithm for Individually Fair K-means Clustering
A Scalable Algorithm for Individually Fair K-means Clustering
M. Bateni
Vincent Cohen-Addad
Alessandro Epasto
Silvio Lattanzi
91
7
0
09 Feb 2024
Proportional Representation in Metric Spaces and Low-Distortion
  Committee Selection
Proportional Representation in Metric Spaces and Low-Distortion Committee Selection
Y. Kalayci
David Kempe
Vikram Kher
75
13
0
16 Dec 2023
Fair Clustering: A Causal Perspective
Fair Clustering: A Causal Perspective
Fritz M. Bayer
Drago Plečko
N. Beerenwinkel
Jack Kuipers
FaML
44
0
0
14 Dec 2023
Fair Wasserstein Coresets
Fair Wasserstein Coresets
Zikai Xiong
Niccolò Dalmasso
Shubham Sharma
Freddy Lecue
Daniele Magazzeni
Vamsi K. Potluru
T. Balch
Manuela Veloso
76
2
0
09 Nov 2023
Sanitized Clustering against Confounding Bias
Sanitized Clustering against Confounding Bias
Yinghua Yao
Yuangang Pan
Jing Li
Ivor W. Tsang
Xin Yao
CML
39
4
0
02 Nov 2023
Proportional Fairness in Clustering: A Social Choice Perspective
Proportional Fairness in Clustering: A Social Choice Perspective
Leon Kellerhals
Jannik Peters
75
14
0
27 Oct 2023
Constant Approximation for Individual Preference Stable Clustering
Constant Approximation for Individual Preference Stable Clustering
Anders Aamand
Justin Y. Chen
Allen Liu
Sandeep Silwal
Pattara Sukprasert
A. Vakilian
Fred Zhang
40
4
0
28 Sep 2023
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints
Jia Li
Yanhao Wang
Arpit Merchant
65
1
0
22 Jul 2023
Approximation Algorithms for Fair Range Clustering
Approximation Algorithms for Fair Range Clustering
S. S. Hotegni
S. Mahabadi
A. Vakilian
60
19
0
11 Jun 2023
Doubly Constrained Fair Clustering
Doubly Constrained Fair Clustering
John P. Dickerson
Seyed-Alireza Esmaeili
Jamie Morgenstern
Claire Jie Zhang
FaML
65
7
0
31 May 2023
Fair Clustering via Hierarchical Fair-Dirichlet Process
Fair Clustering via Hierarchical Fair-Dirichlet Process
Abhisek Chakraborty
A. Bhattacharya
D. Pati
FaML
44
3
0
27 May 2023
Inductive Graph Unlearning
Inductive Graph Unlearning
Cheng-Long Wang
Mengdi Huai
Di Wang
MU
57
29
0
06 Apr 2023
AI and Core Electoral Processes: Mapping the Horizons
AI and Core Electoral Processes: Mapping the Horizons
Deepak P
Stanley Simoes
Muiris Maccarthaigh
45
4
0
07 Feb 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
49
0
0
05 Feb 2023
Can Evolutionary Clustering Have Theoretical Guarantees?
Can Evolutionary Clustering Have Theoretical Guarantees?
Chao Qian
63
3
0
04 Dec 2022
Bicriteria Approximation Algorithms for Priority Matroid Median
Bicriteria Approximation Algorithms for Priority Matroid Median
Tanvi Bajpai
C. Chekuri
60
1
0
04 Oct 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
60
14
0
26 Sep 2022
Individual Preference Stability for Clustering
Individual Preference Stability for Clustering
Saba Ahmadi
Pranjal Awasthi
Samir Khuller
Matthäus Kleindessner
Jamie Morgenstern
Pattara Sukprasert
A. Vakilian
103
10
0
07 Jul 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
67
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
33
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
68
10
0
04 Apr 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
80
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
120
9
0
03 Feb 2022
Modification-Fair Cluster Editing
Modification-Fair Cluster Editing
Vincent Froese
Leon Kellerhals
R. Niedermeier
64
12
0
06 Dec 2021
Approximating Fair Clustering with Cascaded Norm Objectives
Approximating Fair Clustering with Cascaded Norm Objectives
E. Chlamtác
Yury Makarychev
A. Vakilian
157
25
0
08 Nov 2021
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
100
252
0
01 Oct 2021
A Sociotechnical View of Algorithmic Fairness
A Sociotechnical View of Algorithmic Fairness
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
FaML
76
100
0
27 Sep 2021
Feature-based Individual Fairness in k-Clustering
Feature-based Individual Fairness in k-Clustering
Debajyoti Kar
Mert Kosan
Debmalya Mandal
Sourav Medya
A. Silva
P. Dey
Swagato Sanyal
FaML
97
10
0
09 Sep 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
90
8
0
02 Sep 2021
Near-Optimal Explainable $k$-Means for All Dimensions
Near-Optimal Explainable kkk-Means for All Dimensions
Moses Charikar
Lunjia Hu
57
18
0
29 Jun 2021
Better Algorithms for Individually Fair $k$-Clustering
Better Algorithms for Individually Fair kkk-Clustering
Deeparnab Chakrabarty
Maryam Negahbani
131
39
0
23 Jun 2021
Fair Clustering Under a Bounded Cost
Fair Clustering Under a Bounded Cost
Seyed-Alireza Esmaeili
Brian Brubach
A. Srinivasan
John P. Dickerson
58
27
0
14 Jun 2021
Tight FPT Approximation for Socially Fair Clustering
Tight FPT Approximation for Socially Fair Clustering
Dishant Goyal
Ragesh Jaiswal
36
13
0
12 Jun 2021
A New Notion of Individually Fair Clustering: $α$-Equitable
  $k$-Center
A New Notion of Individually Fair Clustering: ααα-Equitable kkk-Center
D. Chakrabarti
John P. Dickerson
Seyed-Alireza Esmaeili
A. Srinivasan
Leonidas Tsepenekas
FaMLFedML
53
23
0
09 Jun 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
98
11
0
29 May 2021
Deep Fair Discriminative Clustering
Deep Fair Discriminative Clustering
Hongjing Zhang
Ian Davidson
FaML
36
11
0
28 May 2021
Consistency of Constrained Spectral Clustering under Graph Induced Fair
  Planted Partitions
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions
Shubham Gupta
Ambedkar Dukkipati
64
8
0
08 May 2021
Revisiting Priority $k$-Center: Fairness and Outliers
Revisiting Priority kkk-Center: Fairness and Outliers
Tanvi Bajpai
Deeparnab Chakrabarty
C. Chekuri
Maryam Negahbani
64
11
0
04 Mar 2021
Approximation Algorithms for Socially Fair Clustering
Approximation Algorithms for Socially Fair Clustering
Yury Makarychev
A. Vakilian
78
50
0
03 Mar 2021
Learning to Generate Fair Clusters from Demonstrations
Learning to Generate Fair Clusters from Demonstrations
Sainyam Galhotra
Sandhya Saisubramanian
S. Zilberstein
FaML
70
9
0
08 Feb 2021
A Pairwise Fair and Community-preserving Approach to k-Center Clustering
A Pairwise Fair and Community-preserving Approach to k-Center Clustering
Brian Brubach
D. Chakrabarti
John P. Dickerson
Samir Khuller
A. Srinivasan
Leonidas Tsepenekas
FaML
58
37
0
14 Jul 2020
Distributional Individual Fairness in Clustering
Distributional Individual Fairness in Clustering
Nihesh Anderson
S. Bera
Syamantak Das
Yang Liu
FedMLFaML
53
21
0
22 Jun 2020
Fair clustering via equitable group representations
Fair clustering via equitable group representations
Mohsen Abbasi
Aditya Bhaskara
Suresh Venkatasubramanian
FaMLFedML
92
87
0
19 Jun 2020
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