| An Algorithmic Framework for Fairness Elicitation | May 25, 2019 | FairnessGeneralization Bounds | CodeCode Available | 0 | 5 |
| Individual Fairness for k-Clustering | Feb 17, 2020 | ClusteringFairness | CodeCode Available | 0 | 5 |
| Individual Fairness in Bayesian Neural Networks | Apr 21, 2023 | Adversarial RobustnessBayesian Inference | CodeCode Available | 0 | 5 |
| Individual Preference Stability for Clustering | Jul 7, 2022 | ClusteringFairness | CodeCode Available | 0 | 5 |
| Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement | Jun 3, 2024 | Anomaly DetectionDecision Making | CodeCode Available | 0 | 5 |
| Information Bargaining: Bilateral Commitment in Bayesian Persuasion | Jun 6, 2025 | Fairness | CodeCode Available | 0 | 5 |
| Integral Privacy for Sampling | Jun 13, 2018 | Density EstimationFairness | CodeCode Available | 0 | 5 |
| Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare | Nov 29, 2024 | FairnessKnowledge Graphs | CodeCode Available | 0 | 5 |
| Active Sampling for Min-Max Fairness | Jun 11, 2020 | Fairnessregression | CodeCode Available | 0 | 5 |
| Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous Driving | Dec 11, 2023 | AttributeAutonomous Driving | CodeCode Available | 0 | 5 |
