| Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective | Feb 6, 2023 | FairnessRecommendation Systems | —Unverified | 0 |
| Fair Spatial Indexing: A paradigm for Group Spatial Fairness | Feb 5, 2023 | Decision MakingFairness | —Unverified | 0 |
| Improving Fair Training under Correlation Shifts | Feb 5, 2023 | Fairness | —Unverified | 0 |
| The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default | Feb 5, 2023 | FairnessJurisprudence | —Unverified | 0 |
| Matrix Estimation for Individual Fairness | Feb 4, 2023 | FairnessMissing Values | —Unverified | 0 |
| Rating Sentiment Analysis Systems for Bias through a Causal Lens | Feb 4, 2023 | FairnessSentiment Analysis | —Unverified | 0 |
| Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging | Feb 3, 2023 | Computed Tomography (CT)Diagnostic | CodeCode Available | 0 |
| Group Fairness in Non-monotone Submodular Maximization | Feb 3, 2023 | Data SummarizationFairness | —Unverified | 0 |
| An Operational Perspective to Fairness Interventions: Where and How to Intervene | Feb 3, 2023 | BenchmarkingFairness | —Unverified | 0 |
| Multivariate Systemic Risk Measures and Computation by Deep Learning Algorithms | Feb 2, 2023 | Deep LearningFairness | —Unverified | 0 |
