Variable selection in high-dimensional settings addresses the challenge of identifying relevant predictors when the number of features greatly exceeds the number of observations. The knockoff ...

Up to now, it has taken a great deal of computational effort to detect dependencies between more than two high-dimensional variables, in particular when complicated non-linear relationships are ...