| Provider Fairness and Beyond-Accuracy Trade-offs in Recommender Systems | Sep 8, 2023 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Improving Fair Predictions Using Variational Inference In Causal Models | Aug 25, 2020 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders | Aug 29, 2023 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization | Nov 16, 2024 | Bayesian OptimizationFairness | CodeCode Available | 0 |
| Differentially Private Fair Binary Classifications | Feb 23, 2024 | Binary ClassificationFairness | CodeCode Available | 0 |
| Developing Linguistic Patterns to Mitigate Inherent Human Bias in Offensive Language Detection | Dec 4, 2023 | Data AugmentationFairness | CodeCode Available | 0 |
| Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair | Oct 17, 2021 | Fairness | CodeCode Available | 0 |
| Multi-Criteria Dimensionality Reduction with Applications to Fairness | Feb 28, 2019 | Dimensionality ReductionFairness | CodeCode Available | 0 |
| Verifying Fairness in Quantum Machine Learning | Jul 22, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 |
| Designing Equitable Algorithms | Feb 17, 2023 | Decision MakingFairness | CodeCode Available | 0 |
