fair clustering

Scalable Spectral Clustering with Group Fairness Constraints AISTATS 2023 A New Notion of Individually Fair Clustering: α-Equitable k-Center AISTATS 2022 Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions NeurIPS 2022 Coreset for Line-Sets Clustering NeurIPS 2022 Dependent randomized rounding for clustering and partition systems with knapsack constraints JMLR 2022 Fair and Fast k-Center Clustering for Data Summarization ICML 2022 Improved Approximation Algorithms for Individually Fair Clustering AISTATS 2022 On Coresets for Fair Regression and Individually Fair Clustering AISTATS 2022 Fair Clustering Under a Bounded Cost NeurIPS 2021 Variational Fair Clustering AAAI 2021 Deep Fair Clustering for Visual Learning CVPR 2020 Fair Hierarchical Clustering NeurIPS 2020 Fair k-Centers via Maximum Matching ICML 2020 KFC: A Scalable Approximation Algorithm for k−center Fair Clustering NeurIPS 2020 Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights AAAI 2020 Probabilistic Fair Clustering NeurIPS 2020 Rényi Fair Inference ICLR 2020 Approximation Algorithms for Stochastic Clustering JMLR 2019 Coresets for Clustering with Fairness Constraints NeurIPS 2019 Fair Algorithms for Clustering NeurIPS 2019 Fair k-Center Clustering for Data Summarization ICML 2019 Proportionally Fair Clustering ICML 2019 Scalable Fair Clustering ICML 2019 Approximation algorithms for stochastic clustering NeurIPS 2018 Fair Clustering Through Fairlets NeurIPS 2017