| FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification | Dec 20, 2024 | DiagnosticDisentanglement | —Unverified | 0 |
| Fair learning with Wasserstein barycenters for non-decomposable performance measures | Sep 1, 2022 | ClassificationFairness | —Unverified | 0 |
| Data Augmentation for Personal Knowledge Base Population | Feb 23, 2020 | Data AugmentationFairness | —Unverified | 0 |
| Lagrangian Duality for Constrained Deep Learning | Jan 26, 2020 | Deep LearningFairness | —Unverified | 0 |
| Inference-time Stochastic Ranking with Risk Control | Jun 12, 2023 | FairnessLearning-To-Rank | —Unverified | 0 |
| Data Augmentation via Diffusion Model to Enhance AI Fairness | Oct 20, 2024 | Binary ClassificationData Augmentation | —Unverified | 0 |
| Agent Incentives: A Causal Perspective | Feb 2, 2021 | Fairness | —Unverified | 0 |
| Fair Regression under Sample Selection Bias | Oct 8, 2021 | AttributeFairness | —Unverified | 0 |
| Fair regression via plug-in estimator and recalibration with statistical guarantees | Dec 1, 2020 | Fairnessregression | —Unverified | 0 |
| Cohort-attention Evaluation Metric against Tied Data: Studying Performance of Classification Models in Cancer Detection | Mar 17, 2025 | FairnessSensitivity | —Unverified | 0 |
