Passing Expectation Propagation Messages with Kernel Methods.
Wittawat JitkrittumArthur GrettonNicolas HeessPublished in: CoRR (2015)
Keyphrases
- kernel methods
- expectation propagation
- bayesian inference
- gaussian process
- approximate inference
- density estimation
- kernel function
- support vector
- machine learning
- bayesian methods
- variational bayes
- feature space
- graphical models
- support vector machine
- belief propagation
- prior information
- posterior distribution
- dynamic bayesian networks
- data sets
- latent variables
- probabilistic inference
- gaussian processes
- bayesian framework
- probability density function