Learning regularization parameters for general-form Tikhonov
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Publication:5348006
DOI10.1088/1361-6420/33/7/074004zbMath1414.68048OpenAlexW2676810451MaRDI QIDQ5348006
Malena I. Español, Julianne Chung
Publication date: 11 August 2017
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/3facd29d34d895d1322d4a71f4fd5744f62fbcef
Ridge regression; shrinkage estimators (Lasso) (62J07) Ill-posedness and regularization problems in numerical linear algebra (65F22) Learning and adaptive systems in artificial intelligence (68T05)
Related Items (8)
Learning nonlocal regularization operators ⋮ Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion ⋮ Preface for Inverse Problems special issue on learning and inverse problems ⋮ The structure of optimal parameters for image restoration problems ⋮ Learning spectral windowing parameters for regularization using unbiased predictive risk and generalized cross validation techniques for multiple data sets ⋮ A bilevel approach for parameter learning in inverse problems ⋮ Solving inverse problems using data-driven models ⋮ Bilevel optimization, deep learning and fractional Laplacian regularization with applications in tomography
Uses Software
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