A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models.
Trong Nghia HoangQuang Minh HoangBryan Kian Hsiang LowPublished in: ICML (2016)
Keyphrases
- gaussian process
- regression model
- variational inference
- gaussian processes
- bayesian framework
- model selection
- approximate inference
- latent variables
- probabilistic model
- bayesian inference
- semi supervised
- closed form
- dirichlet process
- data mining
- latent dirichlet allocation
- random variables
- high dimensional
- training data