2016
Finding significant combinations of features in the presence of categorical covariates
NeurIPS 2016poster
In high-dimensional settings, where the number of features p is typically much larger than the number of samples n, methods which can systematically examine arbitrary combinations of features, a huge 2^p-dimensional space, have recently begun to be explored. However, none of the current methods is a…