Exact Inference for Continuous-Time Gaussian Process Dynamics.
Katharina EnsingerNicholas TagliapietraSebastian ZiescheSebastian TrimpePublished in: CoRR (2023)
Keyphrases
- gaussian process
- approximate inference
- exact inference
- dynamical systems
- latent variables
- variational inference
- regression model
- variational methods
- hyperparameters
- bayesian framework
- model selection
- semi supervised
- dynamic bayesian networks
- structured prediction
- cross validation
- marginal likelihood
- state space
- markov chain monte carlo
- probabilistic inference
- posterior distribution
- machine learning
- feature selection
- belief networks
- bayesian networks
- image processing
- variational bayes