Variational Inference for Continuous-Time Switching Dynamical Systems.
Lukas KöhsBastian AltHeinz KoepplPublished in: NeurIPS (2021)
Keyphrases
- dynamical systems
- variational inference
- bayesian inference
- linear dynamical systems
- probabilistic model
- topic models
- latent dirichlet allocation
- posterior distribution
- gaussian process
- mixture model
- probabilistic graphical models
- variational methods
- closed form
- state space
- dynamic systems
- exact inference
- exponential family
- graphical models
- approximate inference
- factor graphs
- prior information
- expectation maximization
- latent variables
- hyperparameters
- density estimation
- posterior probability
- generative model
- bayesian networks
- bayesian framework
- parameter estimation
- level set
- semi supervised
- search space