Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models.
Adarsh K. JeewajeeLeslie Pack KaelblingPublished in: CoRR (2020)
Keyphrases
- undirected graphical models
- graphical models
- conditional random fields
- exact inference
- boltzmann machines
- probabilistic graphical models
- partition function
- approximate inference
- factor graphs
- gene regulatory networks
- probabilistic model
- directed graphical models
- graph structure
- markov networks
- belief propagation
- bayesian networks
- probabilistic inference
- random variables
- markov random field
- structured prediction
- structure learning
- posterior distribution
- machine learning
- belief networks
- high dimensional
- undirected graph
- closed form
- neural network
- hidden variables
- message passing
- efficient learning
- least squares
- information extraction
- hidden markov models