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1901.08668
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Guarantees for Spectral Clustering with Fairness Constraints
24 January 2019
Matthäus Kleindessner
Samira Samadi
Pranjal Awasthi
Jamie Morgenstern
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Papers citing
"Guarantees for Spectral Clustering with Fairness Constraints"
49 / 49 papers shown
Title
A Computational Approach to Improving Fairness in K-means Clustering
Guancheng Zhou
Haiping Xu
Hongkang Xu
Chenyu Li
Donghui Yan
FaML
45
0
0
29 May 2025
Recovering Fairness Directly from Modularity: a New Way for Fair Community Partitioning
Yufeng Wang
Yiguang Bai
Tianqing Zhu
Ismail Ben Ayed
Jing Yuan
9
0
0
27 May 2025
Fairness-Aware Estimation of Graphical Models
Zhuoping Zhou
Davoud Ataee Tarzanagh
Bojian Hou
Qi Long
Li Shen
81
0
0
30 Aug 2024
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
Abhisek Chakraborty
A. Bhattacharya
D. Pati
FaML
44
3
0
27 May 2023
FairGen: Towards Fair Graph Generation
Lecheng Zheng
Dawei Zhou
Hanghang Tong
Jiejun Xu
Yada Zhu
Jingrui He
107
8
0
30 Mar 2023
Fair Minimum Representation Clustering
Connor Lawless
Oktay Gunluk
FaML
70
2
0
06 Feb 2023
A review of clustering models in educational data science towards fairness-aware learning
Tai Le Quy
Gunnar Friege
Eirini Ntoutsi
FaML
92
14
0
09 Jan 2023
Cluster-level Group Representativity Fairness in
k
k
k
-means Clustering
Stanley Simoes
Deepak P
Muiris Maccarthaigh
FaML
47
0
0
29 Dec 2022
Graph Learning with Localized Neighborhood Fairness
April Chen
Ryan Rossi
Nedim Lipka
Jane Hoffswell
G. Chan
Shunan Guo
Eunyee Koh
Sungchul Kim
Nesreen K. Ahmed
FaML
58
6
0
22 Dec 2022
Scalable Spectral Clustering with Group Fairness Constraints
Ji Wang
Ding Lu
Ian Davidson
Z. Bai
101
18
0
28 Oct 2022
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
Anshuman Chhabra
Peizhao Li
P. Mohapatra
Hongfu Liu
OOD
71
22
0
04 Oct 2022
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
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
R. Fajri
A. Saxena
Yulong Pei
Mykola Pechenizkiy
FaML
51
3
0
21 Sep 2022
Towards Auditing Unsupervised Learning Algorithms and Human Processes For Fairness
Ian Davidson
S. S. Ravi
FaML
55
1
0
20 Sep 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
Xiao-Ze Lin
Seungbae Kim
Jungseock Joo
CVBM
94
41
0
22 Jul 2022
Emergent specialization from participation dynamics and multi-learner retraining
Sarah Dean
Mihaela Curmei
Lillian J. Ratliff
Jamie Morgenstern
Maryam Fazel
106
6
0
06 Jun 2022
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
52
4
0
30 May 2022
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
Marina Knittel
Max Springer
John P. Dickerson
Mohammadtaghi Hajiaghayi
FedML
54
7
0
27 May 2022
A Survey on Fairness for Machine Learning on Graphs
Charlotte Laclau
C. Largeron
Manvi Choudhary
FaML
77
24
0
11 May 2022
Fairness in Graph Mining: A Survey
Yushun Dong
Jing Ma
Song Wang
Chen Chen
Jundong Li
FaML
214
115
0
21 Apr 2022
On consistency of constrained spectral clustering under representation-aware stochastic block model
Shubham Gupta
Ambedkar Dukkipati
80
1
0
03 Mar 2022
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network
Jian Kang
Yangchun Zhu
Yinglong Xia
Jiebo Luo
Hanghang Tong
FaML
72
46
0
28 Feb 2022
Fairness Degrading Adversarial Attacks Against Clustering Algorithms
Anshuman Chhabra
Adish Singla
P. Mohapatra
91
7
0
22 Oct 2021
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
Debajyoti Kar
Mert Kosan
Debmalya Mandal
Sourav Medya
A. Silva
P. Dey
Swagato Sanyal
FaML
97
10
0
09 Sep 2021
Fair Clustering Under a Bounded Cost
Seyed-Alireza Esmaeili
Brian Brubach
A. Srinivasan
John P. Dickerson
56
27
0
14 Jun 2021
Fairness-Aware Unsupervised Feature Selection
Xiaoying Xing
Hongfu Liu
Chen Chen
Jundong Li
FaML
65
14
0
04 Jun 2021
A Stochastic Alternating Balance
k
k
k
-Means Algorithm for Fair Clustering
Suyun Liu
Luis Nunes Vicente
98
11
0
29 May 2021
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
Shubham Gupta
Ambedkar Dukkipati
64
8
0
08 May 2021
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
Tao Zhang
Tianqing Zhu
Jing Li
Mengde Han
Wanlei Zhou
Philip S. Yu
FaML
84
51
0
25 Sep 2020
On Coresets for Fair Clustering in Metric and Euclidean Spaces and Their Applications
Sayan Bandyapadhyay
F. Fomin
Kirill Simonov
70
44
0
20 Jul 2020
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
53
37
0
14 Jul 2020
Fair clustering via equitable group representations
Mohsen Abbasi
Aditya Bhaskara
Suresh Venkatasubramanian
FaML
FedML
92
87
0
19 Jun 2020
Fair Hierarchical Clustering
Sara Ahmadian
Alessandro Epasto
Marina Knittel
Ravi Kumar
Mohammad Mahdian
Benjamin Moseley
Philip Pham
Sergei Vassilvtiskii
Yuyan Wang
FaML
69
47
0
18 Jun 2020
Hypergraph Clustering for Finding Diverse and Experienced Groups
Ilya Amburg
Nate Veldt
Austin R. Benson
71
5
0
10 Jun 2020
A Notion of Individual Fairness for Clustering
Matthäus Kleindessner
Pranjal Awasthi
Jamie Morgenstern
FaML
86
30
0
08 Jun 2020
Agglomerative Neural Networks for Multi-view Clustering
Zhe Liu
Yun Yvonna Li
Lina Yao
Xianzhi Wang
Feiping Nie
19
15
0
12 May 2020
Individual Fairness for
k
k
k
-Clustering
S. Mahabadi
A. Vakilian
FaML
93
85
0
17 Feb 2020
Fair Correlation Clustering
Sara Ahmadian
Alessandro Epasto
Ravi Kumar
Mohammad Mahdian
FaML
56
68
0
06 Feb 2020
On Consequentialism and Fairness
Dallas Card
Noah A. Smith
FaML
51
11
0
02 Jan 2020
Fairness in Clustering with Multiple Sensitive Attributes
Savitha Sam
Abraham • Deepak
Sowmya S. Sundaram
FaML
69
43
0
11 Oct 2019
Coresets for Clustering with Fairness Constraints
Lingxiao Huang
S. Jiang
Nisheeth K. Vishnoi
125
104
0
20 Jun 2019
Variational Fair Clustering
Imtiaz Masud Ziko
Eric Granger
Jing Yuan
Ismail Ben Ayed
93
13
0
19 Jun 2019
Equalized odds postprocessing under imperfect group information
Pranjal Awasthi
Matthäus Kleindessner
Jamie Morgenstern
92
91
0
07 Jun 2019
Near Neighbor: Who is the Fairest of Them All?
Sariel Har-Peled
S. Mahabadi
63
22
0
06 Jun 2019
Fair k-Center Clustering for Data Summarization
Matthäus Kleindessner
Pranjal Awasthi
Jamie Morgenstern
109
165
0
24 Jan 2019
Fair Algorithms for Clustering
Suman Kalyan Bera
Deeparnab Chakrabarty
Nicolas J. Flores
Maryam Negahbani
FaML
FedML
79
241
0
08 Jan 2019
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