3 papers
stat.ML2026
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…
stat.ML2025
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…
math.FA2025
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,…