Variational Inference with Locally Enhanced Bounds for Hierarchical Models.
Tomas GeffnerJustin DomkePublished in: ICML (2022)
Keyphrases
- hierarchical models
- variational inference
- exact inference
- variational methods
- graphical models
- approximate inference
- bayesian inference
- hierarchical model
- probabilistic graphical models
- latent dirichlet allocation
- topic models
- bayesian networks
- generative model
- probabilistic model
- latent variables
- belief networks
- gaussian process
- posterior distribution
- probabilistic inference
- belief propagation
- lower bound
- upper bound
- closed form
- optic flow
- structured prediction
- learning algorithm
- level set
- dynamic bayesian networks
- approximation algorithms
- three dimensional
- exponential family
- np hard
- structure learning
- prior information
- curve evolution
- markov networks
- worst case
- hierarchical structures
- conditional random fields
- random variables