Physics-informed Gaussian Process for Online Optimization of Particle Accelerators.
Adi HanukaXiaobiao HuangJane ShtalenkovaDylan KennedyAuralee EdelenV. R. LalchandDaniel RatnerJoseph DurisPublished in: CoRR (2020)
Keyphrases
- gaussian process
- gaussian processes
- approximate inference
- regression model
- gaussian process regression
- model selection
- latent variables
- hyperparameters
- gaussian process classification
- bayesian framework
- dynamical model
- covariance function
- semi supervised
- gaussian process models
- sparse approximations
- marginal likelihood
- incremental learning
- cross validation
- missing data
- machine learning
- expectation propagation
- data sets