| Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity | May 30, 2022 | FairnessFederated Learning | —Unverified | 0 |
| Fool SHAP with Stealthily Biased Sampling | May 30, 2022 | Fairness | CodeCode Available | 0 |
| Most Equitable Voting Rules | May 30, 2022 | FairnessOpen-Ended Question Answering | —Unverified | 0 |
| Uncertainty Quantification for Fairness in Two-Stage Recommender Systems | May 30, 2022 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Metrizing Fairness | May 30, 2022 | Fairness | CodeCode Available | 0 |
| Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism | May 30, 2022 | Fairness | —Unverified | 0 |
| Optimal Decision Diagrams for Classification | May 28, 2022 | ClassificationFairness | —Unverified | 0 |
| Fair Labeled Clustering | May 28, 2022 | ClusteringFairness | —Unverified | 0 |
| Counterfactual Fairness with Partially Known Causal Graph | May 27, 2022 | BIG-bench Machine LearningCausal Inference | —Unverified | 0 |
| Subverting machines, fluctuating identities: Re-learning human categorization | May 27, 2022 | BIG-bench Machine LearningFairness | —Unverified | 0 |
