Approximate Inference by Compilation to Arithmetic Circuits.
Daniel LowdPedro M. DomingosPublished in: NIPS (2010)
Keyphrases
- approximate inference
- graphical models
- probabilistic inference
- message passing
- belief propagation
- parameter estimation
- variational methods
- exact inference
- bayesian networks
- loopy belief propagation
- latent variables
- gaussian process
- factor graphs
- conditional random fields
- dynamic bayesian networks
- structured prediction
- expectation propagation
- random variables
- belief networks
- free energy
- post processing
- higher order
- least squares
- machine learning