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The lasso procedure pervades the statistical and signal processing literature, and as such, is the target of substantial theoretical and applied research. While much of this research focuses on the desirable properties that lasso possesses—predictive risk consistency, sign consistency, correct model selection—these results assume that the tuning parameter is chosen in an oracle fashion. Yet, this...