5 citations · 5 across the 5 of their papers we have counts for
5 papers
Self-Regularized Learning Methods
Max Schölpple, Liu Fanghui, Ingo Steinwart
We introduce a general framework for analyzing learning algorithms based on the notion of self-regularization, which captures implicit complexity control without requiring explicit…
Nonparametric Instrumental Variable Regression with Observed Covariates
Zikai Shen, Zonghao Chen, Dimitri Meunier +3
We study the problem of nonparametric instrumental variable regression with observed covariates, which we refer to as NPIV-O. Compared with standard nonparametric instrumental vari…
Spectral representations of interpolation spaces of reproducing kernel Hilbert spaces
Michael Bitzer, Ingo Steinwart
In statistical learning theory, interpolation spaces of the form , where is a reproducing kernel Hilbert space, are in widespread use. So far, however,…
Which Spaces can be Embedded in Reproducing Kernel Hilbert Spaces?
Max Schölpple, Ingo Steinwart
Given a Banach space consisting of functions, we ask whether there exists a reproducing kernel Hilbert space with bounded kernel such that . More generally, we…
Optimal Learning Rates for Localized SVMs
Mona Eberts, Ingo Steinwart
One of the limiting factors of using support vector machines (SVMs) in large scale applications are their super-linear computational requirements in terms of the number of training…