Bayesian inference of ODEs with Gaussian processes.
Pashupati HegdeÇagatay YildizHarri LähdesmäkiSamuel KaskiMarkus HeinonenPublished in: CoRR (2021)
Keyphrases
- bayesian inference
- gaussian processes
- hyperparameters
- gaussian process
- prior information
- probabilistic model
- variational bayes
- posterior distribution
- gaussian process regression
- variational inference
- bayesian model
- multi task learning
- bayesian methods
- covariance function
- gaussian process models
- expectation propagation
- particle filter
- graphical models
- multi class
- learning algorithm
- machine learning