Search Results - "MATHÉ, PETER"
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1
Inverse learning in Hilbert scales
Published in Machine learning (01-07-2023)“…We study linear ill-posed inverse problems with noisy data in the framework of statistical learning. The corresponding linear operator equation is assumed to…”
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Tractability of linear ill-posed problems in Hilbert space
Published in Journal of Complexity (01-10-2024)“…We introduce a notion of tractability for ill-posed operator equations in Hilbert space. For such operator equations the asymptotics of the best possible rate…”
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Designing truncated priors for direct and inverse Bayesian problems
Published in Electronic journal of statistics (01-01-2022)Get full text
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Two-layer networks with the ReLUk activation function: Barron spaces and derivative approximation
Published in Numerische Mathematik (2024)“…We investigate the use of two-layer networks with the rectified power unit, which is called the ReLU k activation function, for function and derivative…”
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Optimal rates for Lavrentiev regularization with adjoint source conditions
Published in Mathematics of computation (01-03-2018)“…There are various ways to regularize ill-posed operator equations in Hilbert space. If the underlying operator is accretive, then Lavrentiev regularization…”
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Complexity of linear ill-posed problems in Hilbert space
Published in Journal of Complexity (01-02-2017)“…Information complexity of ill-posed problems may be seen as controversial. On the one hand side there were pessimistic results stating that the complexity is…”
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Convergence analysis of Tikhonov regularization for non-linear statistical inverse problems
Published in Electronic journal of statistics (01-01-2020)“…We study a non-linear statistical inverse problem, where we observe the noisy image of a quantity through a non-linear operator at some random design points…”
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Discrepancy based model selection in statistical inverse problems
Published in Journal of Complexity (01-06-2014)“…The reconstruction of solutions in statistical inverse problems in Hilbert spaces requires regularization, which is often based on a parametrized family of…”
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Adaptive discretization for signal detection in statistical inverse problems
Published in Applicable analysis (04-03-2015)“…We discuss statistical tests in inverse problems when the original equation is replaced by a discretized one, i.e. a linear system of equations. Previous…”
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Analysis of Profile Functions for General Linear Regularization Methods
Published in SIAM journal on numerical analysis (01-01-2007)“…The stable approximate solution of ill-posed linear operator equations in Hilbert spaces requires regularization. Tight bounds for the noise-free part of the…”
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Regularization properties of the sequential discrepancy principle for Tikhonov regularization in Banach spaces
Published in Applicable analysis (03-07-2014)“…The stable solution of ill-posed non-linear operator equations in Banach space requires regularization. One important approach is based on Tikhonov…”
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Heuristic parameter selection based on functional minimization: Optimality and model function approach
Published in Mathematics of computation (01-07-2013)“…We analyze some parameter choice strategies in regularization of inverse problems, in particular, the (modified) L-curve method and a variant of the Hanke-Raus…”
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Regularization of some linear ill-posed problems with discretized random noisy data
Published in Mathematics of computation (01-10-2006)“…For linear statistical ill-posed problems in Hilbert spaces we introduce an adaptive procedure to recover the unknown solution from indirect discrete and noisy…”
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14
Simple Monte Carlo and the Metropolis algorithm
Published in Journal of Complexity (01-08-2007)“…We study the integration of functions with respect to an unknown density. Information is available as oracle calls to the integrand and to the non-normalized…”
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15
Discretized Lavrent'ev regularization for the autoconvolution equation
Published in Applicable analysis (27-07-2017)“…Lavrent'ev regularization for the autoconvolution equation was considered by Janno J. in Lavrent'ev regularization of ill-posed problems containing nonlinear…”
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16
Influence of the carrier reservoir dimensionality on electron-electron scattering in quantum dot materials
Published in Physical review. B, Condensed matter and materials physics (17-12-2013)“…We calculated Coulomb scattering rates from quantum dots (QDs) coupled to a two-dimensional (2D) carrier reservoir and QDs coupled to a three-dimensional (3D)…”
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Direct and inverse results in variable Hilbert scales
Published in Journal of approximation theory (01-10-2008)“…Variable Hilbert scales are an important tool for the recent analysis of inverse problems in Hilbert spaces, as these constitute a way to describe smoothness…”
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The use of higher order finite difference schemes is not dangerous
Published in Journal of Complexity (01-02-2009)“…We discuss the issue of choosing a finite difference scheme for numerical differentiation in case the smoothness of the underlying function is unknown. If low…”
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Saturation of Regularization Methods for Linear Ill-Posed Problems in Hilbert Spaces
Published in SIAM journal on numerical analysis (01-01-2004)“…We prove the saturation of methods for solving linear ill-posed problems in Hilbert spaces for a wide class of regularization methods. It turns out that, under…”
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A different perspective on the Propagation-Separation Approach
Published in Electronic journal of statistics (01-01-2013)Get full text
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