Variational Inference for Uncertainty on the Inputs of Gaussian Process Models.
Andreas C. DamianouMichalis K. TitsiasNeil D. LawrencePublished in: CoRR (2014)
Keyphrases
- variational inference
- gaussian process
- gaussian process models
- gaussian processes
- approximate inference
- regression model
- bayesian inference
- hyperparameters
- semi supervised
- latent variables
- bayesian framework
- model selection
- variational methods
- posterior distribution
- mixture model
- probabilistic model
- topic models
- cross validation
- closed form
- latent dirichlet allocation
- missing data
- prior information
- sample size
- pose estimation