Identifying which variables do influence a response while controlling false positives
pervades statistics and data science. In this paper, we consider a scenario in which we only …

Model-X knockoffs and the conditional randomization test are methods that search for
conditional associations in large data sets, controlling the type-I errors if the joint distribution …

Over the past decades, numerous optimization and machine learning (ML) algorithms have
been proposed, many of which have demonstrated success in real-world applications and …