Individual Fairness for $k$-Clustering

Type: Preprint

Publication Date: 2020-01-01

Citations: 19

DOI: https://doi.org/10.48550/arxiv.2002.06742

Locations

  • arXiv (Cornell University) - View
  • DataCite API - View

Similar Works

Action Title Year Authors
+ (Individual) Fairness for k-Clustering 2020 Sepideh Mahabadi
Ali Vakilian
+ Better Algorithms for Individually Fair $k$-Clustering 2021 Deeparnab Chakrabarty
Maryam Negahbani
+ Improved Approximation Algorithms for Individually Fair Clustering 2021 Ali Vakilian
Mustafa Yalçıner
+ Improved Approximation Algorithms for Individually Fair Clustering. 2021 Ali Vakilian
Mustafa Yalçiner
+ PDF Chat A Scalable Algorithm for Individually Fair K-means Clustering 2024 MohammadHossein Bateni
Vincent Cohen-Addad
Alessandro Epasto
Silvio Lattanzi
+ Feature-based Individual Fairness in k-Clustering 2021 Debajyoti Kar
Mert Kosan
Debmalya Mandal
Sourav Medya
Arlei Silva
Palash Dey
Swagato Sanyal
+ Feature-based Individual Fairness in k-Clustering. 2021 Debajyoti Kar
Sourav Medya
Debmalya Mandal
Arlei Silva
Palash Dey
Swagato Sanyal
+ PDF Chat Linear Programming based Approximation to Individually Fair k-Clustering with Outliers 2024 Binita Maity
Shrutimoy Das
Anirban Dasgupta
+ A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center 2021 Darshan Chakrabarti
John P. Dickerson
Seyed A. Esmaeili
Aravind Srinivasan
Leonidas Tsepenekas
+ PDF Chat A Subquadratic Time Approximation Algorithm for Individually Fair k-Center 2024 Matthijs Ebbens
Nicole Funk
Jan Höckendorff
Christian Sohler
Vera Weil
+ KFC: A Scalable Approximation Algorithm for $k$-center Fair Clustering 2020 Elfarouk Harb
Ho Shan Lam
+ KFC: A Scalable Approximation Algorithm for $k$-center Fair Clustering. 2020 Elfarouk Harb
Ho Shan Lam
+ PDF Chat Efficient k-means with Individual Fairness via Exponential Tilting 2024 Shengkun Zhu
Jinshan Zeng
Yuan Sun
Sheng Wang
Xiaodong Li
Zhiyong Peng
+ Scalable Fair Clustering 2019 Artūrs Bačkurs
Piotr Indyk
Krzysztof Onak
Baruch Schieber
Ali Vakilian
Tal Wagner
+ Scalable Fair Clustering 2019 Artūrs Bačkurs
Piotr Indyk
Krzysztof Onak
Baruch Schieber
Ali Vakilian
Tal Wagner
+ Approximating Fair $k$-Min-Sum-Radii in $\mathbb{R}^d$ 2023 Lukas Drexler
Annika Hennes
A. Lahiri
Melanie Schmidt
Julian Wargalla
+ Fair Algorithms for Clustering 2019 Suman K. Bera
Deeparnab Chakrabarty
Nicolas J. Flores
Maryam Negahbani
+ A Notion of Individual Fairness for Clustering 2020 Matthäus Kleindeßner
Pranjal Awasthi
Jamie Morgenstern
+ PDF Chat Diversity-Aware k-median: Clustering with Fair Center Representation 2021 Suhas Thejaswi
Bruno Ordozgoiti
Aristides Gionis
+ Approximating Fair Clustering with Cascaded Norm Objectives 2021 Eden Chlamtáč
Yury Makarychev
Ali Vakilian