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A machine learning approach to optimal Tikhonov regularization I: Affine manifolds." Analysis and Applications (2020).
learning_parameter.pdf (472.12 KB)
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Automated parameter estimation for selected inverse problems In Grenoble, France., 2019.
Monte Carlo wavelets: a randomized approach to frame discretization In Sampling Theory and Applications. IEEE, 2019.
Unsupervised parameter selection for denoising with the elastic net." Machine Learning (2019).
"Unsupervised Parameter Selection in Variational Regularization. SPARS 2019, Toulouse, France, 2019.
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Nearly Optimal Parameter selection for the Elastic Net In Hangzhou, China., 2017.