Online Constrained Bayesian Inference and Learning of Gaussian-Process State-Space Models.
Karl BerntorpMarcel MennerPublished in: ACC (2022)
Keyphrases
- bayesian inference
- gaussian process
- variational inference
- hyperparameters
- hidden variables
- probabilistic model
- state space
- reinforcement learning
- learning algorithm
- gaussian processes
- model selection
- expectation propagation
- learning process
- bayesian framework
- bayesian methods
- latent variables
- incremental learning
- exponential family
- pairwise
- variational bayes
- gaussian process regression
- gaussian process models
- approximate inference
- posterior distribution
- random fields
- prior information
- learning tasks
- topic models
- higher order
- search algorithm