Stochastic Spectral Descent for Discrete Graphical Models.
David E. CarlsonYa-Ping HsiehEdo CollinsLawrence CarinVolkan CevherPublished in: IEEE J. Sel. Top. Signal Process. (2016)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- approximate inference
- probabilistic inference
- probabilistic graphical models
- structure learning
- bayesian networks
- factor graphs
- map inference
- statistical inference
- conditional random fields
- belief networks
- markov networks
- exponential family
- message passing
- exact inference
- graph structure
- conditional independence
- gaussian graphical models
- upper bound
- monte carlo
- higher order
- undirected graphical models
- lower bound
- chain graphs
- search algorithm