Tractable Function-Space Variational Inference in Bayesian Neural Networks.
Tim G. J. RudnerZonghao ChenYee Whye TehYarin GalPublished in: NeurIPS (2022)
Keyphrases
- variational inference
- neural network
- bayesian inference
- posterior distribution
- probabilistic graphical models
- probabilistic model
- topic models
- mixture model
- variational methods
- gaussian process
- latent variables
- latent dirichlet allocation
- exponential family
- factor graphs
- low dimensional
- exact inference
- bayesian networks
- statistical models
- parameter estimation
- maximum likelihood
- graphical models
- probability distribution
- np hard
- hyperparameters
- closed form
- text mining