| Fair Machine Learning under Limited Demographically Labeled Data | Jun 3, 2021 | BIG-bench Machine LearningBilevel Optimization | CodeCode Available | 0 |
| Learning Fair Representations for Kernel Models | Jun 27, 2019 | Dimensionality ReductionFairness | CodeCode Available | 0 |
| Learning Fair Representations via an Adversarial Framework | Apr 30, 2019 | ClassificationFairness | CodeCode Available | 0 |
| Fairness in Survival Analysis with Distributionally Robust Optimization | Aug 31, 2024 | FairnessSurvival Analysis | CodeCode Available | 0 |
| Learning Fair Representations via Rate-Distortion Maximization | Jan 31, 2022 | AttributeFairness | CodeCode Available | 0 |
| Learning Fair Representations with High-Confidence Guarantees | Oct 23, 2023 | AllFairness | CodeCode Available | 0 |
| BiasGuard: Guardrailing Fairness in Machine Learning Production Systems | Jan 7, 2025 | AttributeFairness | CodeCode Available | 0 |
| Uncertainty Quantification for Fairness in Two-Stage Recommender Systems | May 30, 2022 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Learning fair representation with a parametric integral probability metric | Feb 7, 2022 | Decision MakingFairness | CodeCode Available | 0 |
| Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening | Jul 11, 2025 | Fairness | CodeCode Available | 0 |
