832 citations · 3k across the 34 of their papers we have counts for
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math.ST2017★ 4 cited
On the efficiency of the de-biased Lasso
Sara van de Geer
We consider the high-dimensional linear regression model with Gaussian noise and Gaussian random design . We assume that is non-singular an…
math.ST2017★ 14 cited
Asymptotic Confidence Regions for High-dimensional Structured Sparsity
Benjamin Stucky, Sara van de Geer
In the setting of high-dimensional linear regression models, we propose two frameworks for constructing pointwise and group confidence sets for penalized estimators which incorpora…
math.ST2017★ 1 cited
Some exercises with the Lasso and its compatibility constant
Sara van de Geer
We consider the Lasso for a noiseless experiment where one has observations and uses the penalized version of basis pursuit. We compute for some special designs the compati…