Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server.
Yee Whye TehLeonard HasencleverThibaut LienartSebastian J. VollmerStefan WebbBalaji LakshminarayananCharles BlundellPublished in: CoRR (2015)
Keyphrases
- bayesian learning
- posterior distribution
- expectation propagation
- variational bayes
- latent variables
- probability distribution
- gaussian process
- bayesian framework
- hyperparameters
- model selection
- parameter estimation
- markov chain monte carlo
- maximum a posteriori
- posterior probability
- bayesian inference
- probabilistic model
- gaussian distribution
- approximate inference
- cross validation
- active learning
- random sampling
- random variables
- maximum likelihood
- sample size
- em algorithm
- denoising
- learning algorithm
- marginal likelihood