Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
Yarin GalMark van der WilkCarl E. RasmussenPublished in: NIPS (2014)
Keyphrases
- gaussian process regression
- gaussian process
- latent variables
- gaussian processes
- latent dirichlet allocation
- posterior distribution
- probabilistic model
- approximate inference
- regression model
- high dimensional
- random variables
- bayesian inference
- model selection
- semi supervised
- bayesian framework
- learning problems
- cross validation
- energy function
- exact inference
- exponential family
- machine learning