We consider the problem of constructing optimal designs for model discrimination between competing regression models … study. -- Model discrimination ; optimal design ; T-optimality ; Ds-optimality ; nonlinear approximation …

Algorithms are increasingly used to aid with high-stakes decision making. Yet, their predictive ability frequently … exhibits systematic variation across population subgroups. To assess the trade-off between fairness and accuracy using finite … data, we propose a debiased machine learning estimator for the fairness-accuracy frontier introduced by Liang, Lu, Mu, and …