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Removing biased data to improve fairness and accuracy
Machine learning models trained on such debiased data (a subset of the original training data) have low individual discrimination, often 0%.
Tea: A High-level Language and Runtime System for Automating Statistical Analysis
We show that Tea generally matches the choices of experts while automatically switching to non-parametric tests when parametric assumptions are not met.
Programming Languages Human-Computer Interaction Mathematical Software Software Engineering
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