| Efficient Algorithms For Fair Clustering with a New Fairness Notion | Sep 2, 2021 | AttributeClustering | CodeCode Available | 0 | 5 |
| Addressing Missing Sources with Adversarial Support-Matching | Mar 24, 2022 | Fairness | CodeCode Available | 0 | 5 |
| Equalized odds postprocessing under imperfect group information | Jun 7, 2019 | AttributeFairness | CodeCode Available | 0 | 5 |
| Addressing Marketing Bias in Product Recommendations | Dec 4, 2019 | Collaborative FilteringFairness | CodeCode Available | 0 | 5 |
| Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs | Feb 21, 2025 | Fairness | CodeCode Available | 0 | 5 |
| Achieving Fairness in DareFightingICE Agents Evaluation Through a Delay Mechanism | Dec 26, 2023 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| "All that Glitters": Approaches to Evaluations with Unreliable Model and Human Annotations | Nov 23, 2024 | AllFairness | CodeCode Available | 0 | 5 |
| Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges | Feb 18, 2025 | ClusteringFairness | CodeCode Available | 0 | 5 |
| All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation | Nov 9, 2023 | AllFairness | CodeCode Available | 0 | 5 |
| Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss | May 13, 2021 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 | 5 |
