| Fair Decentralized Learning | Oct 3, 2024 | Fairness | CodeCode Available | 0 | 5 |
| Coresets for Clustering with Fairness Constraints | Jun 20, 2019 | ClusteringFairness | CodeCode Available | 0 | 5 |
| Composing Agents to Minimize Worst-case Risk | Jun 5, 2025 | Fairness | CodeCode Available | 0 | 5 |
| Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs | Feb 21, 2025 | Fairness | CodeCode Available | 0 | 5 |
| Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning | May 3, 2025 | AttributeFace Recognition | CodeCode Available | 0 | 5 |
| Efficient Algorithms For Fair Clustering with a New Fairness Notion | Sep 2, 2021 | AttributeClustering | CodeCode Available | 0 | 5 |
| Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges | Feb 18, 2025 | ClusteringFairness | CodeCode Available | 0 | 5 |
| Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters | Jan 29, 2024 | FairnessRetrieval | CodeCode Available | 0 | 5 |
| Counterfactual Fairness | Mar 20, 2017 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 0 | 5 |
| Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds | Jun 4, 2019 | FairnessSensitivity | CodeCode Available | 0 | 5 |
