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Understanding Priors in Bayesian Neural Networks at the Unit Level

Mariia Vladimirova 1 Jakob Verbeek 2 Pablo Mesejo 3 Julyan Arbel 1
1 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP [2007-2019] - Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019]
2 Thoth - Apprentissage de modèles à partir de données massives
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann
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Submitted on : Monday, July 8, 2019 - 4:27:43 PM
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  • HAL Id : hal-02177151, version 1
  • ARXIV : 1810.05193

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Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel. Understanding Priors in Bayesian Neural Networks at the Unit Level. ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.6458-6467. ⟨hal-02177151⟩

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