Efficient active learning of sparse halfspaces

We study the problem of efficient PAC active learning of d-dimensional linear classifiers, where the goal is to learn a classifier with low error, using as few label queries as possible. Given the extra assumption that there is a t-sparse linear separator that peforms well on the data (t