 A Scalable Algorithm for Individually Fair K-means ClusteringInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 Spectral Normalized-Cut Graph Partitioning with Fairness ConstraintsEuropean Conference on Artificial Intelligence (ECAI), 2023 |
 Doubly Constrained Fair ClusteringNeural Information Processing Systems (NeurIPS), 2023 |
 Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!Neural Information Processing Systems (NeurIPS), 2023 |
 Fair Correlation Clustering in ForestsSymposium on Foundations of Responsible Computing (FRC), 2023 |
 FAL-CUR: Fair Active Learning using Uncertainty and Representativeness
on Fair ClusteringExpert systems with applications (ESWA), 2022 |
 Individual Preference Stability for ClusteringInternational Conference on Machine Learning (ICML), 2022 |
 Improved Approximation for Fair Correlation ClusteringInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 |
 Generalized Reductions: Making any Hierarchical Clustering Fair and
Balanced with Low CostInternational Conference on Machine Learning (ICML), 2022 |
 Modification-Fair Cluster EditingAAAI Conference on Artificial Intelligence (AAAI), 2021 |
 Fair Clustering Under a Bounded CostNeural Information Processing Systems (NeurIPS), 2021 |
 Learning to Generate Fair Clusters from DemonstrationsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021 |
 Fairness in Machine Learning: A SurveyACM Computing Surveys (ACM CSUR), 2020 |
