227 citations · 350 across the 3 of their papers we have counts for
3 papers
stat.ML2013★ 1 cited
On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods
Andreas Christmann, Robert Hable
It is shown that bootstrap approximations of support vector machines (SVMs) based on a general convex and smooth loss function and on a general kernel are consistent. This result i…
math.ST2011★ 227 cited
Estimating conditional quantiles with the help of the pinball loss
Ingo Steinwart, Andreas Christmann
The so-called pinball loss for estimating conditional quantiles is a well-known tool in both statistics and machine learning. So far, however, only little work has been done to qua…
math.ST2007★ 122 cited
Consistency and robustness of kernel-based regression in convex risk minimization
Andreas Christmann, Ingo Steinwart
We investigate statistical properties for a broad class of modern kernel-based regression (KBR) methods. These kernel methods were developed during the last decade and are inspired…