Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression.
Haibin YuTrong Nghia HoangBryan Kian Hsiang LowPatrick JailletPublished in: IJCNN (2019)
Keyphrases
- variational inference
- gaussian process regression
- gaussian process
- gaussian processes
- bayesian inference
- posterior distribution
- hyperparameters
- bayesian framework
- approximate inference
- model selection
- regression model
- semi supervised
- topic models
- latent variables
- probabilistic model
- posterior probability
- mixture model
- latent dirichlet allocation
- variational methods
- probabilistic graphical models
- high dimensional
- information extraction
- image sequences
- graphical models
- exponential family
- state space