  In this paper, we study the sharp oracle bounds for Slope and Lasso and
generalize the results in Bellec et al. (2018) to allow the case that the
parameter vector is not exactly sparse and obtain the optimal bounds for
$\ell_q$ estimation errors with $1\leq q\leq \infty$ by using some extended
Restricted Eigenvalue type conditions.
