Xia-Xin Li

Efficient Support Recovery of Mixtures of Sparse Linear Classifiers with Fewer Measurements

This paper proposes adaptive and non-adaptive schemes that significantly improve upon prior results by simultaneously reducing the number of measurements and achieving sublinear decoding time in mixture models.