Compositional uncertainty in deep Gaussian processes.
Ivan UstyuzhaninovIeva KazlauskaiteMarkus KaiserErik BodinNeill D. F. CampbellCarl Henrik EkPublished in: CoRR (2019)
Keyphrases
- gaussian processes
- gaussian process
- gaussian process regression
- multitask learning
- covariance function
- ordinal regression
- preference learning
- multi task learning
- relevance vector machine
- hyperparameters
- gaussian process models
- machine learning
- human pose estimation
- latent variables
- bayesian framework
- high dimensional
- decision trees