Approximate Inference in Structured Instances with Noisy Categorical Observations.
Alireza HeidariIhab F. IlyasTheodoros RekatsinasPublished in: UAI (2019)
Keyphrases
- approximate inference
- graphical models
- probabilistic inference
- belief propagation
- gaussian process
- message passing
- exact inference
- loopy belief propagation
- variational methods
- parameter estimation
- conditional random fields
- factor graphs
- bayesian networks
- latent variables
- dynamic bayesian networks
- expectation propagation
- random variables
- structured prediction
- probabilistic model
- pairwise
- image processing
- variational approximation
- incomplete data
- hyperparameters
- topic models
- model selection
- markov random field