Search Results for author: Laura Boeschoten

Found 2 papers, 0 papers with code

Fair inference on error-prone outcomes

no code implementations17 Mar 2020 Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski

Fair inference in supervised learning is an important and active area of research, yielding a range of useful methods to assess and account for fairness criteria when predicting ground truth targets.

counterfactual Fairness

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