Partially-rotated designs make Lasso's prediction error independent of arbitrarily correlated off-support columns.
Outlier-robust estimation of a sparse linear model using l1-penalized huber's m-estimator
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Lasso and Partially-Rotated Designs
Partially-rotated designs make Lasso's prediction error independent of arbitrarily correlated off-support columns.