Thin and deep Gaussian processes.
Daniel Augusto de SouzaAlexander NikitinST JohnMagnus RossMauricio A. ÁlvarezMarc Peter DeisenrothJoão Paulo Pordeus GomesDiego MesquitaCésar C. Lincoln MattosPublished in: NeurIPS (2023)
Keyphrases
- gaussian processes
- gaussian process
- gaussian process regression
- ordinal regression
- covariance function
- multitask learning
- multi task learning
- gaussian process models
- preference learning
- human pose estimation
- multi task
- hyperparameters
- bayesian framework
- upper bound
- high dimensional
- relevance vector machine
- learning algorithm