| Fairness-Aware Estimation of Graphical Models | Aug 30, 2024 | Fairness | CodeCode Available | 0 |
| On Formal Feature Attribution and Its Approximation | Jul 7, 2023 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 |
| Recall, Robustness, and Lexicographic Evaluation | Feb 22, 2023 | FairnessInformation Retrieval | CodeCode Available | 0 |
| Bursting the Burden Bubble? An Assessment of Sharma et al.'s Counterfactual-based Fairness Metric | Nov 21, 2022 | Attributecounterfactual | CodeCode Available | 0 |
| On Biased Behavior of GANs for Face Verification | Aug 27, 2022 | AttributeFace Verification | CodeCode Available | 0 |
| Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble | Sep 5, 2024 | counterfactualFairness | CodeCode Available | 0 |
| On Generalized Degree Fairness in Graph Neural Networks | Feb 8, 2023 | FairnessGraph Neural Network | CodeCode Available | 0 |
| Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare | Mar 8, 2024 | Fairness | CodeCode Available | 0 |
| Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints | Jun 29, 2018 | Fairness | CodeCode Available | 0 |
| A novel approach for Fair Principal Component Analysis based on eigendecomposition | Aug 24, 2022 | Dimensionality ReductionFairness | CodeCode Available | 0 |
