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Most recent publications

Z. Kereta, T. Klock and V. Naumova

Nonlinear generalization of the monotone single index model

Information and Inference (2019).
Journal Article
2019
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E. De Vito, Z. Kereta and V. Naumova

A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net

arXiv (2018).
Journal Article
2018
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Selected publications

V. Naumova

Numerical Methods for Diabetes Technology

In Mathematical Algorithms for a Better Management of Type 1 Diabetes. Germany: LAP LAMBERT Academic Publishing, 2012.
Book
2012
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V. Naumova and S. Peter

Minimization of Multi-Penalty Functionals by Alternating Iterative Thresholding and Optimal Parameter Choices

Inverse Problems 30 (2014): 1-35.
Journal Article
2014
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V. Naumova, S. V. Pereverzyev and S. Sampath

A meta-learning approach to the regularized learning—Case study: Blood glucose prediction

Neural Networks 33 (2012): 181-193.
Journal Article
2012
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News

16 July 2022

New book in the SpringerBriefs series: Smittestopp − A Case Study on Digital Contact Tracing

Background

PhD in Natural Sciences (Applied Mathematics)
Johannes Kepler University Linz and Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences
December 2012

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Export 9 results:
2019

Journal articles

Z. Kereta, T. Klock and V. Naumova

Nonlinear generalization of the monotone single index model

Information and Inference (2019).
Status: Published

Talks, invited

M. Fornasier, E. De Vito, Z. Kereta and V. Naumova

Automated parameter estimation for selected inverse problems

In Grenoble, France, 2019.
Status: Published
Z. Kereta, T. Klock and V. Naumova

Covariance and precision matrix estimation, and dimension reduction in regression problems

In Oslo, Norway, 2019.
Status: Published
Z. Kereta, T. Klock and V. Naumova

Towards nonlinear sufficient dimension reduction

In AIP conference, Grenoble, France, 2019.
Status: Published
2018

Journal articles

E. De Vito, Z. Kereta and V. Naumova

A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net

arXiv (2018).
Status: Submitted

Talks, invited

V. Naumova and Z. Kereta

A machine learning approach to optimal regularization: Affine Manifolds

In NTNU, Norway, 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
V. Naumova and Z. Kereta

A machine learning approach to optimal regularization

In European Women in Mathematics, Graz, Austria, 2018.
Status: Published
V. Naumova and Z. Kereta

A machine learning approach for adaptive parameter selection

In University of Oslo, Norway, 2018.
Status: Published