Individual Fairness for $k$ -Clustering

17 February 2020

Papers citing "Individual Fairness for $k$-Clustering"

23 / 23 papers shown

Title
A Polynomial-Time Approximation for Pairwise Fair $k$ -Median Clustering Sayan Bandyapadhyay E. Chlamtác Yu. S. Makarychev A. Vakilian Yury Makarychev Ali Vakilian 38 1 0 16 May 2024
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations Xiang Zhang 32 0 0 24 Mar 2024
Fair Clustering: A Causal Perspective Fritz M. Bayer Drago Plečko N. Beerenwinkel Jack Kuipers FaML 25 0 0 14 Dec 2023
Fair Wasserstein Coresets Zikai Xiong Niccolò Dalmasso Shubham Sharma Freddy Lecue Daniele Magazzeni Vamsi K. Potluru T. Balch Manuela Veloso 34 2 0 09 Nov 2023
Fair Spatial Indexing: A paradigm for Group Spatial Fairness Sina shaham Gabriel Ghinita Cyrus Shahabi 26 0 0 05 Feb 2023
Bicriteria Approximation Algorithms for Priority Matroid Median Tanvi Bajpai C. Chekuri 19 1 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 18 12 0 26 Sep 2022
Constant-Factor Approximation Algorithms for Socially Fair $k$ -Clustering Mehrdad Ghadiri Mohit Singh Santosh Vempala 21 10 0 22 Jun 2022
Exploring Rawlsian Fairness for K-Means Clustering Stanley Simoes Deepak P Muiris Maccarthaigh FaML 22 3 0 04 May 2022
Models and Mechanisms for Spatial Data Fairness Sina shaham Gabriel Ghinita Cyrus Shahabi 21 9 0 04 Apr 2022
On consistency of constrained spectral clustering under representation-aware stochastic block model Shubham Gupta Ambedkar Dukkipati 42 1 0 03 Mar 2022
Fair Representation Clustering with Several Protected Classes Zhen Dai Yury Makarychev A. Vakilian FaML 63 9 0 03 Feb 2022
Modification-Fair Cluster Editing Vincent Froese Leon Kellerhals R. Niedermeier 30 12 0 06 Dec 2021
Approximating Fair Clustering with Cascaded Norm Objectives E. Chlamtác Yury Makarychev A. Vakilian 81 24 0 08 Nov 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 11 240 0 01 Oct 2021
Efficient Algorithms For Fair Clustering with a New Fairness Notion Shivam Gupta Ganesh Ghalme N. C. Krishnan Shweta Jain FaML 60 8 0 02 Sep 2021
Near-Optimal Explainable $k$ -Means for All Dimensions Moses Charikar Lunjia Hu 25 18 0 29 Jun 2021
Better Algorithms for Individually Fair $k$ -Clustering Deeparnab Chakrabarty Maryam Negahbani 16 38 0 23 Jun 2021
Revisiting Priority $k$ -Center: Fairness and Outliers Tanvi Bajpai Deeparnab Chakrabarty C. Chekuri Maryam Negahbani 25 11 0 04 Mar 2021
Fair clustering via equitable group representations Mohsen Abbasi Aditya Bhaskara Suresh Venkatasubramanian FaML FedML 31 86 0 19 Jun 2020
Learning Certified Individually Fair Representations Anian Ruoss Mislav Balunović Marc Fischer Martin Vechev FaML 15 92 0 24 Feb 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016

Individual Fairness for kkk-Clustering

Papers citing "Individual Fairness for $k$-Clustering"

Individual Fairness for $k$ -Clustering