| Auditing Predictive Models for Intersectional Biases | Jun 22, 2023 | Bias DetectionFairness | —Unverified | 0 |
| Algorithmic Bias in Recidivism Prediction: A Causal Perspective | Nov 24, 2019 | Causal InferenceFairness | —Unverified | 0 |
| FairWASP: Fast and Optimal Fair Wasserstein Pre-processing | Oct 31, 2023 | Fairness | —Unverified | 0 |
| Fair Wasserstein Coresets | Nov 9, 2023 | ClusteringDecision Making | —Unverified | 0 |
| A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification | Nov 25, 2019 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| FairWire: Fair Graph Generation | Feb 6, 2024 | FairnessGraph Generation | —Unverified | 0 |
| DeAR: Debiasing Vision-Language Models with Additive Residuals | Mar 18, 2023 | AttributeBenchmarking | —Unverified | 0 |
| Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models | May 17, 2024 | Decision MakingFairness | —Unverified | 0 |
| FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning | Jun 4, 2025 | FairnessFederated Learning | —Unverified | 0 |
| FedFair^3: Unlocking Threefold Fairness in Federated Learning | Jan 29, 2024 | FairnessFederated Learning | —Unverified | 0 |
