 FAL-CUR: Fair Active Learning using Uncertainty and Representativeness
on Fair ClusteringExpert systems with applications (ESWA), 2022 |
 Measuring and mitigating voting access disparities: a study of race and
polling locations in Florida and North CarolinaConference on Fairness, Accountability and Transparency (FAccT), 2022 |
 FiSH: Fair Spatial HotspotsData mining and knowledge discovery (DMKD), 2021 |
 A Stochastic Alternating Balance -Means Algorithm for Fair ClusteringLearning and Intelligent Optimization (LION), 2021 |
 Approximation Algorithms for Socially Fair ClusteringAnnual Conference Computational Learning Theory (COLT), 2021 |
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 Individual Fairness for -ClusteringInternational Conference on Machine Learning (ICML), 2020 |
