Latent Gaussian process with composite likelihoods and numerical quadrature.
Siddharth RamchandranMiika KoskinenHarri LähdesmäkiPublished in: AISTATS (2021)
Keyphrases
- gaussian process
- latent variables
- likelihood function
- latent space
- gaussian processes
- random variables
- bayesian framework
- model selection
- approximate inference
- probabilistic model
- regression model
- gaussian process regression
- latent variable models
- hyperparameters
- sparse approximations
- posterior probability
- semi supervised
- covariance function
- prior knowledge
- gaussian process classification
- expectation propagation
- marginal likelihood
- gaussian process models
- bayesian inference
- maximum likelihood
- upper bound