Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty.

Aliaksandr Hubin Geir Storvik

Published in: CoRR (2023)

Keyphrases

variational inference
neural network
bayesian inference
probabilistic model
hidden markov models
posterior distribution
maximum likelihood
parameter estimation
closed form
variational methods
machine learning
probability distribution
em algorithm
generative model
bayesian framework