Variational Inference with Locally Enhanced Bounds for Hierarchical Models.
Tomas GeffnerJustin DomkePublished in: CoRR (2022)
Keyphrases
- hierarchical models
- variational inference
- exact inference
- variational methods
- graphical models
- approximate inference
- bayesian inference
- hierarchical model
- bayesian networks
- probabilistic graphical models
- probabilistic model
- latent variables
- probabilistic inference
- latent dirichlet allocation
- topic models
- belief propagation
- posterior distribution
- belief networks
- generative model
- upper bound
- lower bound
- hierarchical structures
- learning algorithm
- gaussian process
- closed form
- worst case
- optic flow
- approximation algorithms
- level set
- structured prediction
- exponential family
- hidden markov models
- information retrieval
- multiscale
- computer vision