Fast global convergence rates of gradient methods for high-dimensional statistical recovery
Published on Jan 12, 20114423 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