Scalable Fair Clustering

10 February 2019

Papers citing "Scalable Fair Clustering"

28 / 28 papers shown

Title
Fair Clustering with Clusterlets Mattia Setzu Riccardo Guidotti FaML FedML 28 0 0 03 May 2025
A Polynomial-Time Approximation for Pairwise Fair $k$ -Median Clustering Sayan Bandyapadhyay E. Chlamtác Yu. S. Makarychev A. Vakilian Yury Makarychev Ali Vakilian 46 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
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning Xiang Zhang Qiao Wang 33 3 0 23 Nov 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 Minimum Representation Clustering Connor Lawless Oktay Gunluk FaML 35 2 0 06 Feb 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Anton van den Hengel FaML 22 2 0 25 Jan 2023
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework Anshuman Chhabra Peizhao Li P. Mohapatra Hongfu Liu OOD 26 22 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 23 12 0 26 Sep 2022
Towards Auditing Unsupervised Learning Algorithms and Human Processes For Fairness Ian Davidson S. S. Ravi FaML 30 1 0 20 Sep 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 43 1 0 15 Sep 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 68 9 0 03 Feb 2022
Approximating Fair Clustering with Cascaded Norm Objectives E. Chlamtác Yury Makarychev A. Vakilian 89 24 0 08 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 30 36 0 04 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 62 8 0 02 Sep 2021
Near-Optimal Explainable $k$ -Means for All Dimensions Moses Charikar Lunjia Hu 28 18 0 29 Jun 2021
A Stochastic Alternating Balance $k$ -Means Algorithm for Fair Clustering Suyun Liu Luis Nunes Vicente 30 11 0 29 May 2021
Fair clustering via equitable group representations Mohsen Abbasi Aditya Bhaskara Suresh Venkatasubramanian FaML FedML 31 86 0 19 Jun 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 33 388 0 21 Jan 2020
Fair Generative Modeling via Weak Supervision Kristy Choi Aditya Grover Trisha Singh Rui Shu Stefano Ermon 33 134 0 26 Oct 2019
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition Ninareh Mehrabi Thamme Gowda Fred Morstatter Nanyun Peng Aram Galstyan 12 57 0 24 Oct 2019
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
Rényi Fair Inference Sina Baharlouei Maher Nouiehed Ahmad Beirami Meisam Razaviyayn FaML 16 66 0 28 Jun 2019
Coresets for Clustering with Fairness Constraints Lingxiao Huang S. Jiang Nisheeth K. Vishnoi 19 101 0 20 Jun 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,087 0 24 Oct 2016