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T. Klock

Model-based function learning in high dimensions

In The University of Oslo, 2020.
PhD Thesis
2020
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T. Klock and A. Cloninger

ReLU nets adapt to intrinsic dimensionality beyond the target domain

arXiv preprint arXiv:2008.02545 (2020).
Journal Article
2020
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M. Grasmair, T. Klock and V. Naumova

Adaptive multi-penalty regularization based on a generalized Lasso path

Applied and Computational Harmonic Analysis (2018).
Journal Article
2018
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News

17 February 2020
People

Timo Klock sucessfully defended his PhD

Background

Master's degree in Industrial Mathematics
University of Bremen
June 2016

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2020

Journal articles

T. Klock and A. Cloninger

ReLU nets adapt to intrinsic dimensionality beyond the target domain

arXiv preprint arXiv:2008.02545 (2020).
Status: Submitted

PhD theses

T. Klock

Model-based function learning in high dimensions

In The University of Oslo, 2020.
Status: Published

Posters

T. Klock and A. Cloninger

Adaptivity of Relu Nets Beyond Low-Dimensional Domains

DeepMath 2020, 2020.
Status: Published
2018

Journal articles

M. Grasmair, T. Klock and V. Naumova

Adaptive multi-penalty regularization based on a generalized Lasso path

Applied and Computational Harmonic Analysis (2018).
Status: Published

Posters

Z. Kereta, T. Klock and V. Naumova

High-dimensional function learning on curves

Cambridge, UK, 2018.
Status: Published
Z. Kereta, T. Klock and V. Naumova

Inference and estimation for nonlinear single index models

Machine Learning Summer School Spain, 2018.
Status: Published
Z. Kereta, T. Klock and V. Naumova

A geometrical approach for nonlinear single-index model estimation

ICML Workshop Stockholm, 2018.
Status: Published

Talks, invited

T. Klock

Adaptively estimating nonlinear single index models with monotonic link functions

In Munich, 2018.
Status: Published
V. Naumova and T. Klock

Multi-parameter regularization for solving inverse problems of unmixing type

In University of Cambridge, UK, 2018.
Status: Published

Talks, contributed

Z. Kereta, T. Klock and V. Naumova

Nonlinear estimation of single index models

In Nonlinear Data: Theory and Algorithms Oberwolfach, 2018.
Status: Published