Data-driven inference of passivity properties via Gaussian process optimization.
Anne RomerSebastian TrimpeFrank AllgöwerPublished in: ECC (2019)
Keyphrases
- gaussian process
- data driven
- gaussian processes
- covariance function
- expectation propagation
- variational inference
- gaussian process regression
- regression model
- semi supervised
- gaussian process classification
- model selection
- bayesian framework
- hyperparameters
- bayesian inference
- approximate inference
- latent variables
- gaussian process models
- sparse approximations
- bayesian networks
- probabilistic inference
- cross validation
- probabilistic model
- variational bayes
- maximum likelihood
- marginal likelihood
- higher order