Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models.
Hugh SalimbeniStefanos EleftheriadisJames HensmanPublished in: CoRR (2018)
Keyphrases
- variational inference
- gaussian process
- gaussian process models
- gaussian processes
- bayesian inference
- variational methods
- regression model
- approximate inference
- mixture model
- posterior distribution
- topic models
- probabilistic model
- hyperparameters
- bayesian framework
- model selection
- semi supervised
- latent variables
- closed form
- probabilistic graphical models
- noise reduction
- exponential family
- random sampling
- incomplete data
- latent dirichlet allocation
- machine learning
- generative model
- probability distribution
- support vector
- video sequences