| Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency | Jun 5, 2022 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Enhancing Model Robustness and Fairness with Causality: A Regularization Approach | Oct 3, 2021 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance | May 28, 2024 | Exposure FairnessFairness | CodeCode Available | 0 | 5 |
| E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems | Apr 20, 2023 | DiversityFairness | CodeCode Available | 0 | 5 |
| Certified Defense on the Fairness of Graph Neural Networks | Nov 5, 2023 | FairnessGraph Learning | CodeCode Available | 0 | 5 |
| Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms | Aug 22, 2019 | Data ValuationFairness | CodeCode Available | 0 | 5 |
| CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework | Jun 5, 2024 | Fairness | CodeCode Available | 0 | 5 |
| Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks | Nov 16, 2023 | ClassificationFairness | CodeCode Available | 0 | 5 |
| 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 |
