Scalable Variational Inference for Dynamical Systems.
Nico S. GorbachStefan BauerJoachim M. BuhmannPublished in: NIPS (2017)
Keyphrases
- dynamical systems
- variational inference
- bayesian inference
- topic models
- latent dirichlet allocation
- probabilistic model
- posterior distribution
- variational methods
- probabilistic graphical models
- mixture model
- gaussian process
- closed form
- dynamic systems
- nonlinear dynamical systems
- exponential family
- state space
- approximate inference
- markov networks
- density estimation
- parameter estimation
- graphical models
- exact inference
- prior information
- generative model
- optic flow
- markov random field
- text mining
- machine learning