Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection.
Thomas PowerDmitry BerensonPublished in: CoRR (2022)
Keyphrases
- variational inference
- exponential family
- bayesian inference
- posterior distribution
- topic models
- gaussian process
- mixture model
- closed form
- probability distribution
- latent dirichlet allocation
- variational methods
- probabilistic graphical models
- maximum likelihood
- missing values
- model selection
- graphical models
- log likelihood
- probabilistic model
- prior information
- density estimation
- optical flow
- gaussian distribution
- hyperparameters
- hidden variables
- exact inference
- co occurrence