Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
Alexander Immer 1 2 Matthias Bauer 3 4 Vincent Fortuin 1 Gunnar Rtsch 1 2 Mohammad Emtiyaz Khan 5
Abstract 3 layers, 5221 params 1 layer, 151 params
Marginal-likelihood based model-selection, even MargLik = 88 MargLik = 110
though promising, is rarely used in deep learning
due to estimation difficulties. Instead, most ap-
proaches rely on validatio ...


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