| Algorithms and Learning for Fair Portfolio Design | Jun 12, 2020 | Fairness | CodeCode Available | 0 | 5 |
| Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models | Apr 12, 2024 | FairnessTabular Data Generation | CodeCode Available | 0 | 5 |
| Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms | Aug 22, 2019 | Data ValuationFairness | CodeCode Available | 0 | 5 |
| "All that Glitters": Approaches to Evaluations with Unreliable Model and Human Annotations | Nov 23, 2024 | AllFairness | CodeCode Available | 0 | 5 |
| Achieving Fairness in DareFightingICE Agents Evaluation Through a Delay Mechanism | Dec 26, 2023 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning | Mar 15, 2020 | BIG-bench Machine LearningFairness | CodeCode Available | 0 | 5 |
| Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs | Feb 21, 2025 | Fairness | CodeCode Available | 0 | 5 |
| Addressing Marketing Bias in Product Recommendations | Dec 4, 2019 | Collaborative FilteringFairness | CodeCode Available | 0 | 5 |
| Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models | Apr 22, 2022 | FairnessInformation Retrieval | CodeCode Available | 0 | 5 |
| Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions | May 12, 2024 | Fairness | CodeCode Available | 0 | 5 |
