Tractable Function-Space Variational Inference in Bayesian Neural Networks.
Tim G. J. RudnerZonghao ChenYee Whye TehYarin GalPublished in: CoRR (2023)
Keyphrases
- variational inference
- neural network
- bayesian inference
- posterior distribution
- topic models
- probabilistic model
- latent dirichlet allocation
- variational methods
- probabilistic graphical models
- gaussian process
- mixture model
- closed form
- parameter estimation
- latent variables
- probability distribution
- exponential family
- factor graphs
- approximate inference
- maximum likelihood
- hyperparameters
- information extraction
- gaussian processes
- np hard
- bayesian networks
- image sequences