Train Gradient Boosting models that are both high-performance *and* Fair!
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Updated
Jun 21, 2024 - C++
Train Gradient Boosting models that are both high-performance *and* Fair!
an algorithm to conduct anonymous votes/ polls/ elections/ opinion studies with billions of authenticated voters securely and verifiable
Coreset for Individual Fairness
Implementations of Fair-NeRV/Fair-t-NeRV
Fair K-Means produces a fair clustering assignment according to the fairness definition of Chierichetti et al. Each point has a binary color, and the goal is to assign the points to clusters such that the number of points with different colors in each cluster is the same and the cost of the clusters is minimized.
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