Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server.
Leonard HasencleverStefan WebbThibaut LienartSebastian J. VollmerBalaji LakshminarayananCharles BlundellYee Whye TehPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- bayesian learning
- posterior distribution
- expectation propagation
- variational bayes
- gaussian process
- model selection
- probability distribution
- parameter estimation
- hyperparameters
- bayesian framework
- latent variables
- posterior probability
- maximum a posteriori
- markov chain monte carlo
- marginal likelihood
- cross validation
- approximate inference
- closed form
- gaussian distribution
- monte carlo
- random variables
- em algorithm
- incremental learning
- maximum likelihood
- denoising
- prior knowledge
- support vector