Streamlining Variational Inference for Constraint Satisfaction Problems.
Aditya GroverTudor AchimStefano ErmonPublished in: CoRR (2018)
Keyphrases
- constraint satisfaction problems
- variational inference
- bayesian inference
- constraint satisfaction
- topic models
- latent dirichlet allocation
- variational methods
- probabilistic graphical models
- posterior distribution
- gaussian process
- probabilistic model
- mixture model
- closed form
- constraint programming
- np complete
- exponential family
- search space
- non binary
- exact inference
- approximate inference
- np hard
- factor graphs
- graphical models
- soft constraints
- arc consistency
- finding optimal solutions
- bayesian framework
- generative model
- text mining
- upper bound
- posterior probability
- hidden variables
- prior information
- conditional random fields
- parameter estimation
- probability distribution
- prior knowledge
- lower bound
- computational complexity
- bayesian networks