Model-X knockoffs (J. R. Stat. Soc. Ser. B. Methodol. 80 (2018) 551–577) allows analysts to perform feature selection using almost any machine learning algorithm while provably controlling the expected proportion of false discoveries. This procedure involves constructing synthetic variables, called knockoffs, which effectively act as controls during selection. The gold standard for has been min...