| Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions | Jan 29, 2019 | counterfactualFairness | CodeCode Available | 0 |
| Beyond Parity: Fairness Objectives for Collaborative Filtering | May 24, 2017 | Collaborative FilteringFairness | CodeCode Available | 0 |
| A Taxation Perspective for Fair Re-ranking | Apr 27, 2024 | EthicsFairness | CodeCode Available | 0 |
| Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation | Jan 10, 2025 | DiversityFairness | CodeCode Available | 0 |
| Fairness through Aleatoric Uncertainty | Apr 7, 2023 | Fairness | CodeCode Available | 0 |
| Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making | Sep 18, 2021 | Decision MakingFairness | CodeCode Available | 0 |
| Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation | Feb 12, 2025 | Data ValuationFairness | CodeCode Available | 0 |
| Fairness Through Counterfactual Utilities | Aug 11, 2021 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 |
| Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity | May 1, 2023 | FairnessStudent dropout | CodeCode Available | 0 |
| Beyond Adult and COMPAS: Fairness in Multi-Class Prediction | Jun 15, 2022 | FairnessMulti-class Classification | CodeCode Available | 0 |
