Variational inference for infinite mixtures of sparse Gaussian processes through KL-correction.
Thi Nhat Anh NguyenAbdesselam BouzerdoumSon Lam PhungPublished in: ICASSP (2016)
Keyphrases
- variational inference
- gaussian processes
- gaussian process
- mixture model
- hyperparameters
- model selection
- regression model
- bayesian framework
- approximate inference
- bayesian inference
- semi supervised
- posterior distribution
- dirichlet process
- cross validation
- closed form
- latent variables
- multi task learning
- topic models
- probabilistic model
- variational methods
- probabilistic graphical models
- posterior probability
- expectation maximization
- maximum likelihood
- co occurrence
- high dimensional
- pairwise