Tim Jahn | DeepAI

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Featured Co-authors

Bangti Jin
47 publications
Bastian Harrach
9 publications
Roland Potthast
6 publications

∙ 07/13/2022

Noise level free regularisation of general linear inverse problems under unconstrained white noise

In this note we solve a general statistical inverse problem under absenc...

0 Tim Jahn, et al. ∙

∙ 04/29/2022

Discretisation-adaptive regularisation of statistical inverse problems

We consider linear inverse problems under white noise. These types of pr...

0 Tim Jahn, et al. ∙

∙ 02/25/2022

A Probabilistic Oracle Inequality and Quantification of Uncertainty of a modified Discrepancy Principle for Statistical Inverse Problems

In this note we consider spectral cut-off estimators to solve a statisti...

0 Tim Jahn, et al. ∙

∙ 04/13/2021

Optimal Convergence of the Discrepancy Principle for polynomially and exponentially ill-posed Operators under White Noise

We consider a linear ill-posed equation in the Hilbert space setting und...

0 Tim Jahn, et al. ∙

∙ 03/05/2021

Increasing the relative smoothness of stochastically sampled data

We consider a linear ill-posed equation in the Hilbert space setting. Mu...

0 Tim Jahn, et al. ∙

∙ 10/09/2020

Regularising linear inverse problems under unknown non-Gaussian white noise

We deal with the solution of a generic linear inverse problem in the Hil...

0 Bastian Harrach, et al. ∙

∙ 04/30/2020

On the Discrepancy Principle for Stochastic Gradient Descent

Stochastic gradient descent (SGD) is a promising numerical method for so...

0 Tim Jahn, et al. ∙

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