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| Conformalized Selective Regression | Feb 26, 2024 | Conformal PredictionFairness | —Unverified | 0 |
| Distribution-Free Fair Federated Learning with Small Samples | Feb 25, 2024 | FairnessFederated Learning | —Unverified | 0 |
| Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation | Feb 25, 2024 | Anomaly DetectionFairness | CodeCode Available | 1 |
| Optimal Budget Aggregation with Star-Shaped Preferences | Feb 24, 2024 | Fairness | —Unverified | 0 |
| Fair Resource Allocation in Multi-Task Learning | Feb 23, 2024 | FairnessMulti-Task Learning | CodeCode Available | 1 |
| Differentially Private Fair Binary Classifications | Feb 23, 2024 | Binary ClassificationFairness | CodeCode Available | 0 |
| Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency | Feb 23, 2024 | Decision MakingFairness | —Unverified | 0 |
| Item-side Fairness of Large Language Model-based Recommendation System | Feb 23, 2024 | FairnessLanguage Modeling | CodeCode Available | 0 |
| Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems | Feb 22, 2024 | Collaborative FilteringExposure Fairness | CodeCode Available | 0 |
