| Robustness Implies Fairness in Causal Algorithmic Recourse | Feb 7, 2023 | Adversarial RobustnessFairness | CodeCode Available | 0 |
| Ethical Considerations for Responsible Data Curation | Feb 7, 2023 | DiversityFairness | CodeCode Available | 0 |
| A conceptual model for leaving the data-centric approach in machine learning | Feb 7, 2023 | Fairness | —Unverified | 0 |
| To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods | Feb 7, 2023 | EthicsFairness | —Unverified | 0 |
| An Empirical Analysis of Fairness Notions under Differential Privacy | Feb 6, 2023 | Fairness | —Unverified | 0 |
| Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective | Feb 6, 2023 | FairnessRecommendation Systems | —Unverified | 0 |
| Fair Minimum Representation Clustering | Feb 6, 2023 | ClusteringFairness | —Unverified | 0 |
| The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default | Feb 5, 2023 | FairnessJurisprudence | —Unverified | 0 |
| Improving Fair Training under Correlation Shifts | Feb 5, 2023 | Fairness | —Unverified | 0 |
| Fair Spatial Indexing: A paradigm for Group Spatial Fairness | Feb 5, 2023 | Decision MakingFairness | —Unverified | 0 |
