| Fair and Welfare-Efficient Constrained Multi-matchings under Uncertainty | Nov 4, 2024 | FairnessStochastic Optimization | CodeCode Available | 0 |
| Fair In-Context Learning via Latent Concept Variables | Nov 4, 2024 | Data AugmentationFairness | CodeCode Available | 0 |
| The Intersectionality Problem for Algorithmic Fairness | Nov 4, 2024 | Fairness | —Unverified | 0 |
| EXAGREE: Towards Explanation Agreement in Explainable Machine Learning | Nov 4, 2024 | Fairness | —Unverified | 0 |
| Fairness-Utilization Trade-off in Wireless Networks with Explainable Kolmogorov-Arnold Networks | Nov 4, 2024 | Dataset GenerationFairness | —Unverified | 0 |
| Degradation-Infused Energy Portfolio Allocation Framework: Risk-Averse Fair Storage Participation | Nov 3, 2024 | FairnessForm | —Unverified | 0 |
| Reducing Biases in Record Matching Through Scores Calibration | Nov 3, 2024 | Data IntegrationFairness | CodeCode Available | 0 |
| Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems | Nov 2, 2024 | ClusteringFairness | —Unverified | 0 |
| Federated Learning with Relative Fairness | Nov 2, 2024 | Computational EfficiencyFairness | —Unverified | 0 |
| FEED: Fairness-Enhanced Meta-Learning for Domain Generalization | Nov 2, 2024 | DisentanglementDomain Generalization | —Unverified | 0 |
