Message-Passing for Approximate MAP Inference with Latent Variables.
Jiarong JiangPiyush RaiHal Daumé IIIPublished in: NIPS (2011)
Keyphrases
- latent variables
- message passing
- map inference
- graphical models
- belief propagation
- probabilistic model
- random variables
- markov random field
- lp relaxation
- factor graphs
- approximate inference
- probabilistic graphical models
- dual decomposition
- probabilistic inference
- posterior distribution
- distributed systems
- markov networks
- exact inference
- conditional random fields
- gaussian process
- generative model
- structure learning
- hidden variables
- graph cuts
- topic models
- expectation maximization
- structured prediction
- max margin
- energy minimization
- prior knowledge
- bayesian networks
- bayesian inference
- belief networks
- pairwise
- semantic segmentation
- objective function
- machine learning
- conditional probabilities
- higher order
- object recognition