Mixed Linear Regression with Multiple Components

NeurIPS 2016 Kai ZhongPrateek JainInderjit S. Dhillon

In this paper, we study the mixed linear regression (MLR) problem, where the goal is to recover multiple underlying linear models from their unlabeled linear measurements. We propose a non-convex objective function which we show is {\em locally strongly convex} in the neighborhood of the ground truth... (read more)

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