Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes.
Felix JimenezMatthias KatzfussPublished in: CoRR (2022)
Keyphrases
- gaussian processes
- gaussian process
- gaussian process regression
- bayesian approaches
- bayesian methods
- covariance function
- relevance vector machine
- gaussian process models
- multi task learning
- hyperparameters
- human pose estimation
- expectation propagation
- multi task
- preference learning
- pose estimation
- regression model