Bayesian Neural Network via Stochastic Gradient Descent

The goal of bayesian approach used in variational inference is to minimize the KL divergence between variational distribution and unknown posterior distribution. This is done by maximizing the Evidence Lower Bound (ELBO). A neural network is used to parametrize these distributions using Stochastic G...

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Bibliographic Details

Main Author:	Sagar, Abhinav
Format:	Journal Article
Language:	English
Published:	04-06-2020
Subjects:	Computer Science - Learning Statistics - Machine Learning
Online Access:	Get full text
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