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A Variational Inference Framework for Inverse Problems
A framework is presented for fitting inverse problem models via variational Bayes approximations.
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects
Because of this fact we also consider a hierarchy of relaxations of the mean field product restriction.
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