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…
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,…
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…