A note on sharp oracle bounds for Slope and Lasso

07/23/2021
by   Zhiyong Zhou, et al.
0

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 ℓ_q estimation errors with 1≤ q≤∞ by using some extended Restricted Eigenvalue type conditions.

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