References

No references inside the corpus for this window.

Cited by

• 2020Ensuring Fairness Beyond the Training Data27 cited
• 2020A Fair Classifier Using Mutual Information23 cited
• 2023Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples20 cited
• 2021Investigating Oversampling Techniques for Fair Machine Learning Models18 cited
• 2022Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness15 cited
• 2020Moment Multicalibration for Uncertainty Estimation12 cited
• 2021Fairness in Forecasting and Learning Linear Dynamical Systems10 cited