Radial Bayesian Neural Networks: Robust Variational Inference In Big Models.
Sebastian FarquharMichael A. OsborneYarin GalPublished in: CoRR (2019)
Keyphrases
- variational inference
- neural network
- bayesian inference
- probabilistic model
- posterior distribution
- bayesian models
- variational methods
- mixture model
- topic models
- statistical models
- gaussian process
- bayesian networks
- probabilistic graphical models
- generative model
- model selection
- maximum likelihood
- latent dirichlet allocation
- soft computing
- latent variables
- approximate inference
- markov chain monte carlo
- parameter estimation
- exact inference