Deterministic Variational Inference for Robust Bayesian Neural Networks.
Anqi WuSebastian NowozinEdward MeedsRichard E. TurnerJosé Miguel Hernández-LobatoAlexander L. GauntPublished in: ICLR (2019)
Keyphrases
- variational inference
- neural network
- bayesian inference
- posterior distribution
- topic models
- probabilistic graphical models
- closed form
- probabilistic model
- gaussian process
- mixture model
- variational methods
- latent dirichlet allocation
- probability distribution
- posterior probability
- multilayer perceptron
- hyperparameters
- exponential family
- latent variables
- soft computing
- prior information
- maximum a posteriori
- belief propagation
- approximate inference
- markov networks