| Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations | Dec 7, 2022 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Fairness Auditing with Multi-Agent Collaboration | Feb 13, 2024 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Federated Online Clustering of Bandits | Aug 31, 2022 | ClusteringDecision Making | CodeCode Available | 0 | 5 |
| SHAP-XRT: The Shapley Value Meets Conditional Independence Testing | Jul 14, 2022 | Binary ClassificationDecision Making | CodeCode Available | 0 | 5 |
| Fair Conformal Predictors for Applications in Medical Imaging | Sep 9, 2021 | Conformal PredictionDecision Making | CodeCode Available | 0 | 5 |
| Fair Clustering: A Causal Perspective | Dec 14, 2023 | ClusteringDecision Making | CodeCode Available | 0 | 5 |
| Fair Data Representation for Machine Learning at the Pareto Frontier | Jan 2, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 | 5 |
| FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret | Apr 3, 2020 | AttributeDecision Making | CodeCode Available | 0 | 5 |
| A Confidence Machine for Sparse High-Order Interaction Model | May 28, 2022 | Conformal PredictionDecision Making | CodeCode Available | 0 | 5 |
| Anderson Acceleration for Partially Observable Markov Decision Processes: A Maximum Entropy Approach | Nov 28, 2022 | Decision MakingSequential Decision Making | CodeCode Available | 0 | 5 |
