On statistical inference when fixed points of belief propagation are unstable.
Siqi LiuSidhanth MohantyPrasad RaghavendraPublished in: FOCS (2022)
Keyphrases
- statistical inference
- belief propagation
- fixed point
- graphical models
- message passing
- approximate inference
- random variables
- probabilistic model
- factor graphs
- probabilistic inference
- energy minimization
- loopy belief propagation
- conditional random fields
- free energy
- bayesian inference
- model selection
- markov random field
- bayesian networks
- stereo matching
- machine learning
- bethe free energy
- statistical learning
- unsupervised learning
- graph cuts
- feature selection