| Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement | Jun 3, 2024 | Anomaly DetectionDecision Making | CodeCode Available | 0 | 5 |
| Distributional Off-Policy Evaluation for Slate Recommendations | Aug 27, 2023 | FairnessOff-policy evaluation | CodeCode Available | 0 | 5 |
| Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability | Jun 8, 2020 | FairnessGeneral Classification | CodeCode Available | 0 | 5 |
| Distribution-aware Fairness Test Generation | May 8, 2023 | Autonomous DrivingFairness | CodeCode Available | 0 | 5 |
| Maxmin Participatory Budgeting | Apr 29, 2022 | Fairness | CodeCode Available | 0 | 5 |
| MCRAGE: Synthetic Healthcare Data for Fairness | Oct 27, 2023 | DenoisingFairness | CodeCode Available | 0 | 5 |
| ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods | Sep 25, 2024 | Binary ClassificationFairness | CodeCode Available | 0 | 5 |
| Enhancing Fairness of Visual Attribute Predictors | Jul 7, 2022 | AttributeFairness | CodeCode Available | 0 | 5 |
| Endowing Pre-trained Graph Models with Provable Fairness | Feb 19, 2024 | AttributeFairness | CodeCode Available | 0 | 5 |
| Empirical Risk Minimization under Fairness Constraints | Feb 23, 2018 | Fairness | CodeCode Available | 0 | 5 |
