Exact Inference for Continuous-Time Gaussian Process Dynamics.
Katharina EnsingerNicholas TagliapietraSebastian ZiescheSebastian TrimpePublished in: AAAI (2024)
Keyphrases
- gaussian process
- approximate inference
- exact inference
- dynamical systems
- latent variables
- variational methods
- regression model
- model selection
- hyperparameters
- variational inference
- bayesian framework
- semi supervised
- dynamic bayesian networks
- graphical models
- marginal likelihood
- markov chain monte carlo
- state space
- structured prediction
- bayesian networks
- machine learning
- closed form
- belief networks
- probabilistic inference
- random variables
- generative model
- maximum likelihood
- upper bound
- training data