A Pairwise Fair and Community-preserving Approach to k-Center Clustering

14 July 2020

Papers citing "A Pairwise Fair and Community-preserving Approach to k-Center Clustering"

26 / 26 papers shown

Title
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
A Polynomial-Time Approximation for Pairwise Fair $k$ -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 Xiang Zhang 90 0 0 24 Mar 2024
Scalable Algorithms for Individual Preference Stable Clustering Ron Mosenzon A. Vakilian 80 3 0 15 Mar 2024
Fair Polylog-Approximate Low-Cost Hierarchical Clustering Marina Knittel Max Springer John Dickerson Mohammadtaghi Hajiaghayi FaML 46 2 0 21 Nov 2023
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
Approximation Algorithms for Fair Range Clustering S. S. Hotegni S. Mahabadi A. Vakilian 60 19 0 11 Jun 2023
Doubly Constrained Fair Clustering John P. Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 65 7 0 31 May 2023
Proportionally Representative Clustering Haris Aziz Barton E. Lee S. Chu Jeremy Vollen FaML 134 5 0 27 Apr 2023
Cluster-level Group Representativity Fairness in $k$ -means Clustering Stanley Simoes Deepak P Muiris Maccarthaigh FaML 47 0 0 29 Dec 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
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 Mehrdad Ghadiri Mohit Singh Santosh Vempala 67 10 0 22 Jun 2022
Fair Labeled Clustering Seyed-Alireza Esmaeili Sharmila Duppala John P. Dickerson Brian Brubach FaML 61 6 0 28 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
Fair Representation Clustering with Several Protected Classes Zhen Dai Yury Makarychev A. Vakilian FaML 120 9 0 03 Feb 2022
Approximating Fair Clustering with Cascaded Norm Objectives E. Chlamtác Yury Makarychev A. Vakilian 157 25 0 08 Nov 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 76 100 0 27 Sep 2021
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 Seyed-Alireza Esmaeili Brian Brubach A. Srinivasan John P. Dickerson 58 27 0 14 Jun 2021
Fair Disaster Containment via Graph-Cut Problems M. Dinitz A. Srinivasan Leonidas Tsepenekas A. Vullikanti FaML 68 10 0 09 Jun 2021
A New Notion of Individually Fair Clustering: $α$ -Equitable $k$ -Center D. Chakrabarti John P. Dickerson Seyed-Alireza Esmaeili A. Srinivasan Leonidas Tsepenekas FaML FedML 53 23 0 09 Jun 2021
Deep Fair Discriminative Clustering Hongjing Zhang Ian Davidson FaML 36 11 0 28 May 2021
Approximation Algorithms for Socially Fair Clustering Yury Makarychev A. Vakilian 78 50 0 03 Mar 2021
Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints Brian Brubach D. Chakrabarti John P. Dickerson A. Srinivasan Leonidas Tsepenekas 59 22 0 02 Mar 2021