Probabilistic Fair Clustering

19 June 2020

Papers citing "Probabilistic Fair Clustering"

9 / 9 papers shown

Title
Fair Correlation Clustering in Forests Katrin Casel Tobias Friedrich Martin Schirneck Simon Wietheger FaML 24 2 0 22 Feb 2023
Fair Minimum Representation Clustering Connor Lawless Oktay Gunluk FaML 35 2 0 06 Feb 2023
Fair Ranking with Noisy Protected Attributes Anay Mehrotra Nisheeth K. Vishnoi 23 16 0 30 Nov 2022
Fair Labeled Clustering Seyed-Alireza Esmaeili Sharmila Duppala John P. Dickerson Brian Brubach FaML 16 3 0 28 May 2022
Fair Representation Clustering with Several Protected Classes Zhen Dai Yury Makarychev A. Vakilian FaML 63 9 0 03 Feb 2022
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
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
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018