| A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control | Mar 30, 2025 | FairnessMulti-agent Reinforcement Learning | CodeCode Available | 1 | 5 |
| Deconfounded Recommendation for Alleviating Bias Amplification | May 22, 2021 | FairnessRecommendation Systems | CodeCode Available | 1 | 5 |
| Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark | Mar 9, 2024 | BenchmarkingFairness | CodeCode Available | 1 | 5 |
| Learning-Based Downlink Power Allocation in Cell-Free Massive MIMO Systems | Sep 7, 2021 | Fairness | CodeCode Available | 1 | 5 |
| Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud | Sep 7, 2021 | Bias DetectionBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Debiased Explainable Pairwise Ranking from Implicit Feedback | Jul 30, 2021 | FairnessRecommendation Systems | CodeCode Available | 1 | 5 |
| Causal intersectionality for fair ranking | Jun 15, 2020 | Causal InferenceFairness | CodeCode Available | 1 | 5 |
| Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning | Dec 17, 2020 | FairnessMulti-agent Reinforcement Learning | CodeCode Available | 1 | 5 |
| Certified Monotonic Neural Networks | Nov 20, 2020 | Fairness | CodeCode Available | 1 | 5 |
| An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction | Jul 20, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
