Variational Inference for Linear Systems with Latent Parameter Space.
Cassiano O. BeckerVictor M. PreciadoPublished in: ACC (2019)
Keyphrases
- parameter space
- linear systems
- variational inference
- latent variables
- posterior distribution
- bayesian inference
- topic models
- gaussian process
- hyperparameters
- probabilistic graphical models
- probabilistic model
- sufficient conditions
- variational methods
- closed form
- latent dirichlet allocation
- mixture model
- dynamical systems
- exact inference
- high dimensional
- parameter values
- sparse linear systems
- approximate inference
- exponential family
- graphical models
- markov networks
- prior knowledge
- bayesian framework
- prior information
- pid controller
- model selection
- hidden variables
- random variables
- parameter estimation
- search space