Guarantees for Spectral Clustering with Fairness Constraints

24 January 2019

Matthäus Kleindessner

Papers citing "Guarantees for Spectral Clustering with Fairness Constraints"

31 / 31 papers shown

Title
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations Xiang Zhang 32 0 0 24 Mar 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 21 2 0 16 Feb 2024
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering Siamak Ghodsi Seyed Amjad Seyedi Eirini Ntoutsi 32 6 0 16 Feb 2024
Fair Clustering: A Causal Perspective Fritz M. Bayer Drago Plečko N. Beerenwinkel Jack Kuipers FaML 27 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
Spectral Clustering on Large Datasets: When Does it Work? Theory from Continuous Clustering and Density Cheeger-Buser T. Chu Gary Miller N. Walkington 21 0 0 11 May 2023
Fairness-aware Multi-view Clustering Lecheng Zheng Yada Zhu Jingrui He 31 5 0 11 Feb 2023
Fair Minimum Representation Clustering Connor Lawless Oktay Gunluk FaML 35 2 0 06 Feb 2023
A review of clustering models in educational data science towards fairness-aware learning Tai Le Quy Gunnar Friege Eirini Ntoutsi FaML 32 14 0 09 Jan 2023
Cluster-level Group Representativity Fairness in $k$ -means Clustering Stanley Simoes Deepak P Muiris Maccarthaigh FaML 22 0 0 29 Dec 2022
Scalable Spectral Clustering with Group Fairness Constraints Ji Wang Ding Lu Ian Davidson Z. Bai 61 16 0 28 Oct 2022
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework Anshuman Chhabra Peizhao Li P. Mohapatra Hongfu Liu OOD 34 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 33 1 0 20 Sep 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification Xiao-Ze Lin Seungbae Kim Jungseock Joo CVBM 39 38 0 22 Jul 2022
Emergent specialization from participation dynamics and multi-learner retraining Sarah Dean Mihaela Curmei Lillian J. Ratliff Jamie Morgenstern Maryam Fazel 24 5 0 06 Jun 2022
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina Mohsen Abbasi Suresh Venkatasubramanian Sorelle A. Friedler K. Lum Calvin Barrett 35 3 0 30 May 2022
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost Marina Knittel Max Springer John P. Dickerson Mohammadtaghi Hajiaghayi FedML 29 5 0 27 May 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 34 113 0 21 Apr 2022
On consistency of constrained spectral clustering under representation-aware stochastic block model Shubham Gupta Ambedkar Dukkipati 49 1 0 03 Mar 2022
Efficient Algorithms For Fair Clustering with a New Fairness Notion Shivam Gupta Ganesh Ghalme N. C. Krishnan Shweta Jain FaML 65 8 0 02 Sep 2021
A Stochastic Alternating Balance $k$ -Means Algorithm for Fair Clustering Suyun Liu Luis Nunes Vicente 30 11 0 29 May 2021
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination Tao Zhang Tianqing Zhu Jing Li Mengde Han Wanlei Zhou Philip S. Yu FaML 29 49 0 25 Sep 2020
Fair clustering via equitable group representations Mohsen Abbasi Aditya Bhaskara Suresh Venkatasubramanian FaML FedML 31 86 0 19 Jun 2020
A Notion of Individual Fairness for Clustering Matthäus Kleindessner Pranjal Awasthi Jamie Morgenstern FaML 30 30 0 08 Jun 2020
Fairness in Clustering with Multiple Sensitive Attributes Savitha Sam Abraham • Deepak Sowmya S. Sundaram FaML 14 42 0 11 Oct 2019
Coresets for Clustering with Fairness Constraints Lingxiao Huang S. Jiang Nisheeth K. Vishnoi 29 101 0 20 Jun 2019
Variational Fair Clustering Imtiaz Masud Ziko Eric Granger Jing Yuan Ismail Ben Ayed 24 13 0 19 Jun 2019
Fair k-Center Clustering for Data Summarization Matthäus Kleindessner Pranjal Awasthi Jamie Morgenstern 23 161 0 24 Jan 2019
Fair Algorithms for Clustering Suman Kalyan Bera Deeparnab Chakrabarty Nicolas J. Flores Maryam Negahbani FaML FedML 30 229 0 08 Jan 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016