Gradient Regularization as Approximate Variational Inference
We developed Variational Laplace for Bayesian neural networks (BNNs), which exploits a local approximation of the curvature of the likelihood to estimate the ELBO without the need for stochastic sampling of the neural-network weights. The Variational Laplace objective is simple to evaluate, as it is...
| Main Authors: | , |
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| פורמט: | Article |
| שפה: | English |
| יצא לאור: |
MDPI AG
2021-12-01
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| סדרה: | Entropy |
| נושאים: | |
| גישה מקוונת: | https://www.mdpi.com/1099-4300/23/12/1629 |