Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models.
Hugh SalimbeniStefanos EleftheriadisJames HensmanPublished in: AISTATS (2018)
Keyphrases
- variational inference
- gaussian process
- gaussian process models
- gaussian processes
- bayesian inference
- approximate inference
- latent variables
- regression model
- model selection
- posterior distribution
- bayesian framework
- topic models
- hyperparameters
- semi supervised
- probabilistic graphical models
- probabilistic model
- closed form
- variational methods
- latent dirichlet allocation
- mixture model
- maximum likelihood
- exponential family
- cross validation
- machine learning
- parameter estimation
- generative model
- computer vision