Message Passing Inference for Large Scale Graphical Models with High Order Potentials.
Jian ZhangAlexander G. SchwingRaquel UrtasunPublished in: NIPS (2014)
Keyphrases
- high order
- message passing
- graphical models
- belief propagation
- factor graphs
- probabilistic inference
- loopy belief propagation
- exact inference
- approximate inference
- markov random field
- efficient inference algorithms
- higher order
- inference in graphical models
- belief networks
- sum product
- map inference
- sum product algorithm
- probabilistic model
- max product
- probabilistic graphical models
- bayesian networks
- clique potentials
- markov networks
- pairwise
- random variables
- structure learning
- conditional random fields
- partition function
- markov chain monte carlo
- markov logic networks
- free energy
- dynamic bayesian networks
- junction tree
- energy minimization
- generalized belief propagation
- probabilistic reasoning
- conditional independence
- statistical relational learning
- structured prediction
- distributed systems
- influence diagrams
- markov logic
- random fields
- directed graphical models
- relational dependency networks
- energy function
- stereo matching
- bayesian inference
- image processing