| fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation | Apr 1, 2021 | Bias DetectionFairness | CodeCode Available | 0 |
| On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness | Jul 23, 2024 | FairnessFederated Learning | CodeCode Available | 0 |
| Interpretable and Fair Mechanisms for Abstaining Classifiers | Mar 24, 2025 | Fairness | CodeCode Available | 0 |
| On Adversarial Bias and the Robustness of Fair Machine Learning | Jun 15, 2020 | BIG-bench Machine LearningData Poisoning | CodeCode Available | 0 |
| Towards Effective Discrimination Testing for Generative AI | Dec 30, 2024 | Fairness | CodeCode Available | 0 |
| On Baselines for Local Feature Attributions | Jan 4, 2021 | Fairness | CodeCode Available | 0 |
| Randomized Kaczmarz Algorithm for Massive MIMO Systems with Channel Estimation and Spatial Correlation | Apr 8, 2019 | Fairness | CodeCode Available | 0 |
| Uplift modeling with continuous treatments: A predict-then-optimize approach | Dec 12, 2024 | Fairness | CodeCode Available | 0 |
| Fair Multiple Decision Making Through Soft Interventions | Dec 1, 2020 | Decision MakingFairness | CodeCode Available | 0 |
| Standardized Interpretable Fairness Measures for Continuous Risk Scores | Aug 22, 2023 | Fairness | CodeCode Available | 0 |
