Incubator Projects

Project

IN-8

In finite-Dimensional Supervised Least Squares Learning as a Noncompact Regularized Inverse Problem

Project Heads

Péter Koltai

Project Members

Mattes Mollenhauer

Project Duration

01.01.2022 – 31.12.2022

Located at

FU Berlin

Description

We propose an approach to spectral regularization algorithms for kernel-based supervised learning with in finite-dimensional response variables. Recent research shows that this scenario enjoys widespread practical use. However, virtually no results exist due to the mathematical complexity compared to the finite-dimensional learning settings investigated so far.

Project Webpages

Selected Publications

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