| An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction | Jul 20, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach | Aug 3, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| An Approach to Ensure Fairness in News Articles | Jul 8, 2022 | ArticlesFairness | CodeCode Available | 1 | 5 |
| Counterfactual Inference for Text Classification Debiasing | Aug 1, 2021 | Classificationcounterfactual | CodeCode Available | 1 | 5 |
| CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems | Apr 17, 2022 | FairnessRecommendation Systems | CodeCode Available | 1 | 5 |
| Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud | Sep 7, 2021 | Bias DetectionBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Controlling Fairness and Bias in Dynamic Learning-to-Rank | May 29, 2020 | ArticlesFairness | CodeCode Available | 1 | 5 |
| Minimax Group Fairness: Algorithms and Experiments | Nov 5, 2020 | Fairness | CodeCode Available | 1 | 5 |
| A Critical Re-evaluation of Neural Methods for Entity Alignment | Apr 1, 2022 | Entity AlignmentEntity Resolution | CodeCode Available | 1 | 5 |
| Controlling Directions Orthogonal to a Classifier | Jan 27, 2022 | Domain AdaptationFairness | CodeCode Available | 1 | 5 |
