Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
Yarin GalMark van der WilkCarl E. RasmussenPublished in: CoRR (2014)
Keyphrases
- gaussian process regression
- gaussian process
- latent variables
- gaussian processes
- posterior distribution
- latent dirichlet allocation
- probabilistic model
- bayesian inference
- prior knowledge
- regression model
- bayesian framework
- random variables
- data mining
- closed form
- active learning
- hidden variables
- approximate inference
- topic models
- exact inference
- model selection