Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes.
Andreas C. DamianouMichalis K. TitsiasNeil D. LawrencePublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- latent variables
- gaussian process
- variational inference
- gaussian processes
- posterior distribution
- probabilistic model
- approximate inference
- topic models
- random variables
- prior knowledge
- variational bayes
- hidden variables
- multi task learning
- factor graphs
- probabilistic graphical models
- exact inference
- graphical models
- mixture model
- data analysis
- support vector
- decision trees
- data mining