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While the choice of prior is one of the most critical parts of the Bayesian inference workflow, recent Bayesian deep learning models have often fallen back on vague priors, such as standard Gaussians.
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Dropout as a structured shrinkage prior
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Aliaksandr Hubin and Geir Storvik · 2019
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