| Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks | Jun 4, 2024 | Fairness | CodeCode Available | 0 |
| FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning | Apr 29, 2021 | FairnessGraph Representation Learning | CodeCode Available | 0 |
| [RE] Modeling Personalized Item Frequency Information for Next-basket Recommendation | Feb 27, 2024 | FairnessNext-basket recommendation | CodeCode Available | 0 |
| Removing biased data to improve fairness and accuracy | Feb 5, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Learning Optimal Predictive Checklists | Dec 2, 2021 | Fairness | CodeCode Available | 0 |
| Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison | Aug 2, 2019 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| An Empirical Study of Rich Subgroup Fairness for Machine Learning | Aug 24, 2018 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| On the Privacy Risks of Algorithmic Fairness | Nov 7, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 |
| Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries | Oct 22, 2018 | Extractive SummarizationFairness | CodeCode Available | 0 |
| Learning Rate Free Sampling in Constrained Domains | May 24, 2023 | Fairness | CodeCode Available | 0 |
