 The Fairness-Quality Trade-off in ClusteringNeural Information Processing Systems (NeurIPS), 2024 |
 Scalable Algorithms for Individual Preference Stable ClusteringInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 Proportional Representation in Metric Spaces and Low-Distortion
Committee SelectionAAAI Conference on Artificial Intelligence (AAAI), 2023 |
 Fair Clustering: A Causal PerspectiveCLEaR (CLEaR), 2023 |
 Sanitized Clustering against Confounding BiasMachine-mediated learning (ML), 2023 |
 Constant Approximation for Individual Preference Stable ClusteringNeural Information Processing Systems (NeurIPS), 2023 |
 Approximation Algorithms for Fair Range ClusteringInternational Conference on Machine Learning (ICML), 2023 |
 Doubly Constrained Fair ClusteringNeural Information Processing Systems (NeurIPS), 2023 |
 Can Evolutionary Clustering Have Theoretical Guarantees?IEEE Transactions on Evolutionary Computation (TEVC), 2022 |
 Bicriteria Approximation Algorithms for Priority Matroid MedianInternational Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM), 2022 |
 Individual Preference Stability for ClusteringInternational Conference on Machine Learning (ICML), 2022 |
 Fair Representation Clustering with Several Protected ClassesConference on Fairness, Accountability and Transparency (FAccT), 2022 |
 Feature-based Individual Fairness in k-ClusteringAdaptive Agents and Multi-Agent Systems (AAMAS), 2021 |
 A New Notion of Individually Fair Clustering: -Equitable
-CenterInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 Approximation Algorithms for Socially Fair ClusteringAnnual Conference Computational Learning Theory (COLT), 2021 |
 Algorithms and Learning for Fair Portfolio DesignACM Conference on Economics and Computation (EC), 2020 |
 Learning Certified Individually Fair RepresentationsNeural Information Processing Systems (NeurIPS), 2020 |
 Individual Fairness for -ClusteringInternational Conference on Machine Learning (ICML), 2020 |
