Parameter choices for sparse regularization with the ℓ1 norm * (Q5060748)

scientific article; zbMATH DE number 7640701

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English	Parameter choices for sparse regularization with the ℓ1 norm <sup>*</sup>	scientific article; zbMATH DE number 7640701

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scholarly article

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title

Parameter choices for sparse regularization with the ℓ1 norm * (English)

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published in

Inverse Problems

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publication date

11 January 2023

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full work available at URL

https://arxiv.org/abs/2205.07170

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zbMATH Keywords

parameter choice strategy

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regularization

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sparsity

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describes a project that uses

LIBSVM

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PDCO

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MaRDI profile type

MaRDI publication profile

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cites work

The generalized Lasso problem and uniqueness

0 references

Morozov's discrepancy principle for Tikhonov-type functionals with nonlinear operators

0 references

Optimization with Sparsity-Inducing Penalties

0 references

Comparing parameter choice methods for regularization of ill-posed problems

0 references

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

0 references

10.1162/153244303322753643

0 references

Q4868585

0 references

Morozov's discrepancy principle and Tikhonov-type functionals

0 references

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

0 references

Statistics for high-dimensional data. Methods, theory and applications.

0 references

A Singular Value Thresholding Algorithm for Matrix Completion

0 references

Adaptive wavelet thresholding for image denoising and compression

0 references

Atomic Decomposition by Basis Pursuit

0 references

Multiscale Methods for Fredholm Integral Equations

0 references

Minimum norm interpolation in the ℓ1(ℕ) space

0 references

Asymptotic analysis of penalized likelihood and related estimators

0 references

Ten Lectures on Wavelets

0 references

Adapting to Unknown Smoothness via Wavelet Shrinkage

0 references

Tikhonov regularization in Hilbert scales under conditional stability assumptions

0 references

Q4230520

0 references

On the solution uniqueness characterization in the L1 norm and polyhedral gauge recovery

0 references

Sparse regularization with l q penalty term

0 references

Matrix Analysis

0 references

Q5396679

0 references

Accuracy guaranties for $\ell_{1}$ recovery of block-sparse signals

0 references

$\ell_1$ Trend Filtering

0 references

A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines

0 references

Q3174129

0 references

Multi-step fixed-point proximity algorithms for solving a class of optimization problems arising from image processing

0 references

Framelet Algorithms for De-Blurring Images Corrupted by Impulse Plus Gaussian Noise

0 references

Q4620441

0 references

A two-step fixed-point proximity algorithm for a class of non-differentiable optimization models in machine learning

0 references

Filters of wavelets on invariant sets for image denoising

0 references

Multi-task learning in vector-valued reproducing kernel Banach spaces with the $\ell^1$ norm

0 references

Convergence rates and source conditions for Tikhonov regularization with sparsity constraints

0 references

Proximity algorithms for image models: denoising

0 references

Reconstruction and decomposition algorithms for biorthogonal multiwavelets

0 references

Q5578503

0 references

On the Adaptive Selection of the Parameter in Regularization of Ill-Posed Problems

0 references

Applications of the Modified Discrepancy Principle to Tikhonov Regularization of Nonlinear Ill-Posed Problems

0 references

A Tikhonov-based projection iteration for nonlinear ill-posed problems with sparsity con\-straints

0 references

Nonlinear total variation based noise removal algorithms

0 references

Q3148817

0 references

Regularization methods in Banach spaces.

0 references

Concentration estimates for learning with $\ell ^{1}$-regularizer and data dependent hypothesis spaces

0 references

Reproducing Kernel Banach Spaces with the ℓ1 Norm II: Error Analysis for Regularized Least Square Regression

0 references

Reproducing kernel Banach spaces with the $\ell^1$ norm

0 references

The Discrete Cosine Transform

0 references

Error Estimates for Regularization Methods in Hilbert Scales

0 references

On a general regularization scheme for nonlinear ill-posed problems: II. Regularization in Hilbert scales

0 references

Q4864293

0 references

Sparsity and Smoothness Via the Fused Lasso

0 references

The solution path of the generalized lasso

0 references

Degrees of freedom in lasso problems

0 references

Q4125663

0 references

A unifying representer theorem for inverse problems and machine learning

0 references

Q4261789

0 references

Q5053232

0 references

Q3188036

0 references

Sparse regularization with the ℓ0 norm

0 references

Generalized Mercer Kernels and Reproducing Kernel Banach Spaces

0 references

Alternating Direction Algorithms for $\ell_1$-Problems in Compressive Sensing

0 references

Model Selection and Estimation in Regression with Grouped Variables

0 references

Q3149262

0 references

Q2880993

0 references

On the ``degrees of freedom'' of the lasso

0 references

Identifiers

Mathematics Subject Classification ID

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10.1088/1361-6420/ACAD22

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Sitelinks

Mathematics(1 entry)

mardi Publication:5060748

Parameter choices for sparse regularization with the ℓ1 norm <sup>*</sup> (Q5060748)

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Identifiers

Sitelinks

Mathematics(1 entry)