We consider the problem of learning a coefficient vector x0 ∈ R from noisy linear observation y = Ax0 + w ∈ R. In many contexts (ranging from model selection to image processing) it is desirable to construct a sparse estimator x̂. In this case, a popular approach consists in solving an l1-penalized least squares problem known as the LASSO or Basis Pursuit… (More)