| Policy Learning with Observational Data | Feb 9, 2017 | FairnessForm | CodeCode Available | 0 | 5 |
| EiX-GNN : Concept-level eigencentrality explainer for graph neural networks | Jun 7, 2022 | FairnessTransfer Learning | CodeCode Available | 0 | 5 |
| An Algorithmic Framework for Fairness Elicitation | May 25, 2019 | FairnessGeneralization Bounds | CodeCode Available | 0 | 5 |
| Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering Systems | Oct 16, 2023 | FairnessQuestion Answering | CodeCode Available | 0 | 5 |
| Enhancing New-item Fairness in Dynamic Recommender Systems | Apr 30, 2025 | FairnessKnowledge Distillation | CodeCode Available | 0 | 5 |
| Average Individual Fairness: Algorithms, Generalization and Experiments | May 25, 2019 | ClassificationFairness | CodeCode Available | 0 | 5 |
| Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees | Apr 18, 2024 | FairnessLearning-To-Rank | CodeCode Available | 0 | 5 |
| Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters | Jan 29, 2024 | FairnessRetrieval | CodeCode Available | 0 | 5 |
| Aligning (Medical) LLMs for (Counterfactual) Fairness | Aug 22, 2024 | counterfactualFairness | CodeCode Available | 0 | 5 |
| Algorithms and Learning for Fair Portfolio Design | Jun 12, 2020 | Fairness | CodeCode Available | 0 | 5 |
