Laplace Redux -- Effortless Bayesian Deep Learning

Bayesian formulations of deep learning have been shown to have compelling theoretical properties and offer practical functional benefits, such as improved predictive uncertainty quantification and model selection. The Laplace approximation (LA) is a classic, and arguably the simplest family of appro...

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Bibliographische Detailangaben

Hauptverfasser:	Daxberger, Erik, Kristiadi, Agustinus, Immer, Alexander, Eschenhagen, Runa, Bauer, Matthias, Hennig, Philipp
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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