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Found 3 papers, 1 papers with code
Efficient Reconstruction of Stochastic Pedigrees
We introduce a new algorithm called {\sc Rec-Gen} for reconstructing the genealogy or \textit{pedigree} of an extant population purely from its genetic data.
From Soft Classifiers to Hard Decisions: How fair can we be?
We study the feasibility of achieving various fairness properties by post-processing calibrated scores, and then show that deferring post-processors allow for more fairness conditions to hold on the final decision.
Equalizing Financial Impact in Supervised Learning
Notions of "fair classification" that have arisen in computer science generally revolve around equalizing certain statistics across protected groups.
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