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Learning under selective labels in the presence of expert consistency

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References

2017Human Decisions and Machine Predictions591 cited
2017Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer90 cited
2018Residual Unfairness in Fair Machine Learning from Prejudiced Data83 cited
2015Why task domains (still) matter for understanding expertise.34 cited

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2020Algorithmic Fairness: Choices, Assumptions, and Definitions738 cited
2019Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?13 cited

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