A New Notion of Individually Fair Clustering: $α$-Equitable
$k$-Center

v1v2v3 (latest)

A New Notion of Individually Fair Clustering: $α$ -Equitable $k$ -Center

9 June 2021

John P. Dickerson

Seyed-Alireza Esmaeili

Leonidas Tsepenekas

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Papers citing "A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center"

17 / 17 papers shown

Title
A Computational Approach to Improving Fairness in K-means Clustering Guancheng Zhou Haiping Xu Hongkang Xu Chenyu Li Donghui Yan FaML 57 0 0 29 May 2025
FACROC: a fairness measure for FAir Clustering through ROC curves Tai Le Quy Long Le Thanh Lan Luong Thi Hong Frank Hopfgartner 69 0 0 02 Mar 2025
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 Shengkun Zhu Jinshan Zeng Yuan Sun Sheng Wang Xiaodong Li Zhiyong Peng 89 0 0 24 Jun 2024
Fair Clustering: Critique, Caveats, and Future Directions John Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 74 1 0 22 Jun 2024
Scalable Algorithms for Individual Preference Stable Clustering Ron Mosenzon A. Vakilian 80 3 0 15 Mar 2024
Proportional Representation in Metric Spaces and Low-Distortion Committee Selection Y. Kalayci David Kempe Vikram Kher 82 13 0 16 Dec 2023
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 Anders Aamand Justin Y. Chen Allen Liu Sandeep Silwal Pattara Sukprasert A. Vakilian Fred Zhang 50 4 0 28 Sep 2023
Doubly Constrained Fair Clustering John P. Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 65 7 0 31 May 2023
A review of clustering models in educational data science towards fairness-aware learning Tai Le Quy Gunnar Friege Eirini Ntoutsi FaML 99 14 0 09 Jan 2023
Cluster-level Group Representativity Fairness in $k$ -means Clustering Stanley Simoes Deepak P Muiris Maccarthaigh FaML 52 0 0 29 Dec 2022
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions Leonidas Tsepenekas Ivan Brugere Freddy Lecue Daniele Magazzeni 59 1 0 26 Aug 2022
Constant-Factor Approximation Algorithms for Socially Fair $k$ -Clustering Mehrdad Ghadiri Mohit Singh Santosh Vempala 69 10 0 22 Jun 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
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 Shivam Gupta Ganesh Ghalme N. C. Krishnan Shweta Jain FaML 103 8 0 02 Sep 2021