| Fair Machine Learning under Limited Demographically Labeled Data | Jun 3, 2021 | BIG-bench Machine LearningBilevel Optimization | CodeCode Available | 0 | 5 |
| Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification | Oct 1, 2022 | Fairnesstext-classification | CodeCode Available | 0 | 5 |
| Policy Learning with Observational Data | Feb 9, 2017 | FairnessForm | CodeCode Available | 0 | 5 |
| A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems | May 10, 2023 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Individual Fairness under Varied Notions of Group Fairness in Bipartite Matching - One Framework to Approximate Them All | Aug 21, 2022 | AllFairness | CodeCode Available | 0 | 5 |
| Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment | Jul 27, 2023 | Fairness | CodeCode Available | 0 | 5 |
| Certified Defense on the Fairness of Graph Neural Networks | Nov 5, 2023 | FairnessGraph Learning | CodeCode Available | 0 | 5 |
| Embracing Fairness in Consumer Electricity Markets using an Automatic Market Maker | Jul 30, 2024 | Fairness | CodeCode Available | 0 | 5 |
| Blackbox Post-Processing for Multiclass Fairness | Jan 12, 2022 | BIG-bench Machine LearningBinary Classification | CodeCode Available | 0 | 5 |
| Enhancing New-item Fairness in Dynamic Recommender Systems | Apr 30, 2025 | FairnessKnowledge Distillation | CodeCode Available | 0 | 5 |
