| Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction | Jun 30, 2018 | FairnessManagement | CodeCode Available | 0 | 5 |
| Policy Learning with Observational Data | Feb 9, 2017 | FairnessForm | CodeCode Available | 0 | 5 |
| Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters | Jan 29, 2024 | FairnessRetrieval | CodeCode Available | 0 | 5 |
| Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges | Feb 18, 2025 | ClusteringFairness | CodeCode Available | 0 | 5 |
| Equalized odds postprocessing under imperfect group information | Jun 7, 2019 | AttributeFairness | CodeCode Available | 0 | 5 |
| ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods | Sep 25, 2024 | Binary ClassificationFairness | CodeCode Available | 0 | 5 |
| Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms | Aug 22, 2019 | Data ValuationFairness | CodeCode Available | 0 | 5 |
| DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy? | Jun 22, 2021 | Deep LearningFairness | CodeCode Available | 0 | 5 |
| DPER: Dynamic Programming for Exist-Random Stochastic SAT | May 19, 2022 | Bayesian InferenceFairness | CodeCode Available | 0 | 5 |
| EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning | Oct 2, 2024 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
