Likelihood-Free Inference with Deep Gaussian Processes.
Alexander AushevHenri PesonenMarkus HeinonenJukka CoranderSamuel KaskiPublished in: CoRR (2020)
Keyphrases
- gaussian processes
- covariance function
- dirichlet process
- gaussian process
- gaussian process regression
- hyperparameters
- multitask learning
- multi task learning
- maximum likelihood
- human pose estimation
- bayesian inference
- preference learning
- gaussian process models
- relevance vector machine
- expectation propagation
- bayesian networks
- multi task
- bayesian framework
- bayesian model
- regression model
- model selection
- semi supervised
- pairwise