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Fairness, Semi-Supervised Learning, and More: A General Framework for
  Clustering with Stochastic Pairwise Constraints

Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints

2 March 2021
Brian Brubach
D. Chakrabarti
John P. Dickerson
A. Srinivasan
Leonidas Tsepenekas
ArXiv (abs)PDFHTML

Papers citing "Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints"

13 / 13 papers shown
Title
Fair Clustering: Critique, Caveats, and Future Directions
Fair Clustering: Critique, Caveats, and Future Directions
John Dickerson
Seyed-Alireza Esmaeili
Jamie Morgenstern
Claire Jie Zhang
FaML
74
1
0
22 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
Scalable Algorithms for Individual Preference Stable Clustering
Scalable Algorithms for Individual Preference Stable Clustering
Ron Mosenzon
A. Vakilian
80
3
0
15 Mar 2024
Near-Optimal Algorithms for Constrained k-Center Clustering with Instance-level Background Knowledge
Near-Optimal Algorithms for Constrained k-Center Clustering with Instance-level Background Knowledge
Longkun Guo
Chaoqi Jia
Kewen Liao
Zhigang Lu
Minhui Xue
20
0
0
23 Jan 2024
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
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
44
4
0
28 Sep 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
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness
  on Fair Clustering
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
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
Semi-FairVAE: Semi-supervised Fair Representation Learning with
  Adversarial Variational Autoencoder
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
DRL
116
4
0
01 Apr 2022
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
Fair Clustering Under a Bounded Cost
Fair Clustering Under a Bounded Cost
Seyed-Alireza Esmaeili
Brian Brubach
A. Srinivasan
John P. Dickerson
63
27
0
14 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
55
23
0
09 Jun 2021
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