| Towards Reducing Biases in Combining Multiple Experts Online | Aug 19, 2019 | Decision MakingFairness | —Unverified | 0 |
| Learning Fair Classifiers via Min-Max F-divergence Regularization | Jun 28, 2023 | Decision MakingFairness | —Unverified | 0 |
| Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously | Aug 18, 2024 | Domain GeneralizationFairness | —Unverified | 0 |
| Learning Fairness-aware Relational Structures | Feb 21, 2020 | FairnessRecommendation Systems | —Unverified | 0 |
| Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control | Feb 14, 2025 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 |
| Learning Fair Policies for Multi-stage Selection Problems from Observational Data | Dec 20, 2023 | Causal InferenceFairness | —Unverified | 0 |
| Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards | Jan 1, 2020 | Deep Reinforcement LearningFairness | —Unverified | 0 |
| Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages | Feb 7, 2024 | FairnessInformation Retrieval | —Unverified | 0 |
| Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints | Feb 19, 2020 | FairnessGeneralization Bounds | —Unverified | 0 |
| Learning Feature Disentanglement and Dynamic Fusion for Recaptured Image Forensic | Jun 13, 2022 | DisentanglementFairness | —Unverified | 0 |
