Solving Equations of Random Convex Functions via Anchored Regression

17 Feb 2017 Sohail Bahmani Justin Romberg

We consider the question of estimating a solution to a system of equations that involve convex nonlinearities, a problem that is common in machine learning and signal processing. Because of these nonlinearities, conventional estimators based on empirical risk minimization generally involve solving a non-convex optimization program... (read more)

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