14 citations · 18 across the 9 of their papers we have counts for
Showing 2019Show all
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math.ST2019★ 2 cited
The column measure and Gradient-Free Gradient Boosting
Tino Werner, Peter Ruckdeschel
Sparse model selection by structural risk minimization leads to a set of a few predictors, ideally a subset of the true predictors. This selection clearly depends on the underlying…
math.ST2019
Asymptotic linear expansion of regularized M-estimators
Tino Werner
Parametric high-dimensional regression analysis requires the usage of regularization terms to get interpretable models. The respective estimators can be regarded as regularized M-f…
cs.LG2019★ 2 cited
A review on ranking problems in statistical learning
Tino Werner
Ranking problems, also known as preference learning problems, define a widely spread class of statistical learning problems with many applications, including fraud detection, docum…