Patterns of Scalable Bayesian Inference.
Elaine AngelinoMatthew James JohnsonRyan P. AdamsPublished in: Found. Trends Mach. Learn. (2016)
Keyphrases
- bayesian inference
- probabilistic model
- bayesian model
- hyperparameters
- prior information
- gibbs sampler
- variational bayes
- statistical inference
- variational inference
- markov chain monte carlo
- particle filter
- bayesian models
- hierarchical bayesian
- hidden variables
- inference process
- bayesian networks
- variational approximation
- prior distribution
- random fields
- latent variables
- support vector