A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors

Hierarchical models with gamma hyperpriors provide a flexible, sparse-promoting framework to bridge $L^1$ and $L^2$ regularizations in Bayesian formulations to inverse problems. Despite the Bayesian motivation for these models, existing methodologies are limited to \textit{maximum a posteriori} esti...

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Hauptverfasser:	Agrawal, Shiv, Kim, Hwanwoo, Sanz-Alonso, Daniel, Strang, Alexander
Format:	Artikel
Sprache:	eng
Schlagworte:	Statistics - Computation Statistics - Machine Learning Statistics - Methodology
Online-Zugang:	Volltext bestellen
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