Hardness of parameter estimation in graphical models.
Guy BreslerDavid GamarnikDevavrat ShahPublished in: CoRR (2014)
Keyphrases
- parameter estimation
- graphical models
- approximate inference
- probabilistic model
- belief propagation
- maximum likelihood
- statistical models
- least squares
- random variables
- model selection
- probabilistic graphical models
- markov random field
- probabilistic inference
- structure learning
- em algorithm
- bayesian networks
- parameter estimation algorithm
- conditional random fields
- expectation maximization
- phase transition
- posterior distribution
- markov networks
- exact inference
- conditional independence
- factor graphs
- maximum likelihood estimation
- higher order
- belief networks
- parameter learning
- variational methods
- statistical relational learning
- clustering algorithm