14 citations · 29 across the 11 of their papers we have counts for
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math.ST2021★ 3 cited
Shearlet-based regularization in statistical inverse learning with an application to X-ray tomography
Tatiana A. Bubba, Luca Ratti
Statistical inverse learning theory, a field that lies at the intersection of inverse problems and statistical learning, has lately gained more and more attention. In an effort to…
stat.ML2021★ 2 cited
Learning the optimal Tikhonov regularizer for inverse problems
Giovanni S. Alberti, Ernesto De Vito, Matti Lassas +2
In this work, we consider the linear inverse problem , where is a known linear operator between the separable Hilbert spaces and , is a random v…
stat.ML2021★ 1 cited
Convex regularization in statistical inverse learning problems
Tatiana A. Bubba, Martin Burger, Tapio Helin +1
We consider a statistical inverse learning problem, where the task is to estimate a function based on noisy point evaluations of , where is a linear operator. The funct…