A Tutorial on Sparse Gaussian Processes and Variational Inference.
Felix LeibfriedVincent DutordoirS. T. JohnNicolas DurrandePublished in: CoRR (2020)
Keyphrases
- variational inference
- gaussian process
- gaussian processes
- covariance function
- hyperparameters
- bayesian inference
- approximate inference
- posterior distribution
- model selection
- regression model
- bayesian framework
- latent variables
- semi supervised
- dirichlet process
- multi task learning
- data mining
- high dimensional
- variational methods
- closed form
- latent dirichlet allocation
- topic models
- probabilistic model
- supervised learning
- multiscale
- support vector
- missing data
- co occurrence
- sample size