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Fast global convergence rates of gradient methods for high-dimensional statistical recovery
Published on 2011-01-124429 Views
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rates of first-order gr