| Enumerating Fair Packages for Group Recommendations | May 30, 2021 | FairnessRecommendation Systems | CodeCode Available | 0 |
| GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning | Apr 12, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning | Mar 15, 2020 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Predicting Race and Ethnicity From the Sequence of Characters in a Name | May 5, 2018 | Fairness | CodeCode Available | 0 |
| Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems | Jul 22, 2019 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 |
| E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems | Apr 20, 2023 | DiversityFairness | CodeCode Available | 0 |
| EqGNN: Equalized Node Opportunity in Graphs | Aug 19, 2021 | AttributeFairness | CodeCode Available | 0 |
| Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems | Jul 2, 2023 | Fairness | CodeCode Available | 0 |
| Equal Experience in Recommender Systems | Oct 12, 2022 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Equal Improvability: A New Fairness Notion Considering the Long-term Impact | Oct 13, 2022 | Fairness | CodeCode Available | 0 |
