On Batch Normalisation for Approximate Bayesian Inference.
Jishnu MukhotiPuneet K. DokaniaPhilip H. S. TorrYarin GalPublished in: CoRR (2020)
Keyphrases
- bayesian inference
- expectation propagation
- probabilistic model
- hyperparameters
- prior information
- variational inference
- bayesian model
- probabilistic modeling
- markov networks
- statistical inference
- variational bayes
- hierarchical bayesian
- inference process
- hidden variables
- particle filter
- bayesian models
- gibbs sampler
- machine learning
- weighted model counting