Free-Form Variational Inference for Gaussian Process State-Space Models.
Xuhui FanEdwin V. BonillaTerence J. O'KaneScott A. SissonPublished in: CoRR (2023)
Keyphrases
- gaussian process
- variational inference
- free form
- gaussian processes
- bayesian nonparametric
- bayesian framework
- regression model
- probabilistic model
- model selection
- state space
- bayesian inference
- approximate inference
- topic models
- latent variables
- variational methods
- probabilistic graphical models
- hyperparameters
- mixture model
- semi supervised
- closed form
- posterior distribution
- latent dirichlet allocation
- factor graphs
- exponential family
- prior knowledge
- feature selection
- image sequences
- graphical models
- statistical models
- exact inference
- dimensionality reduction