166 citations · 317 across the 26 of their papers we have counts for
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math.ST2017
On Lasso refitting strategies
Evgenii Chzhen, Mohamed Hebiri, Joseph Salmon
A well-know drawback of l_1-penalized estimators is the systematic shrinkage of the large coefficients towards zero. A simple remedy is to treat Lasso as a model-selection procedur…
math.ST2017★ 2 cited
On the benefits of output sparsity for multi-label classification
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri +1
The multi-label classification framework, where each observation can be associated with a set of labels, has generated a tremendous amount of attention over recent years. The moder…