Likelihood-free inference with deep Gaussian processes.
Alexander AushevHenri PesonenMarkus HeinonenJukka CoranderSamuel KaskiPublished in: Comput. Stat. Data Anal. (2022)
Keyphrases
- gaussian processes
- covariance function
- dirichlet process
- gaussian process
- gaussian process regression
- hyperparameters
- multitask learning
- maximum likelihood
- bayesian inference
- multi task learning
- multi task
- bayesian networks
- human pose estimation
- regression model
- non stationary
- higher order
- relevance vector machine
- training data
- bayesian framework
- closed form
- expectation propagation
- preference learning
- gaussian process models