Hardness of parameter estimation in graphical models.
Guy BreslerDavid GamarnikDevavrat ShahPublished in: NIPS (2014)
Keyphrases
- parameter estimation
- graphical models
- approximate inference
- maximum likelihood
- belief propagation
- probabilistic model
- random variables
- least squares
- markov random field
- probabilistic graphical models
- probabilistic inference
- model selection
- structure learning
- em algorithm
- parameter estimation algorithm
- statistical models
- random fields
- factor graphs
- bayesian networks
- conditional random fields
- expectation maximization
- posterior distribution
- markov networks
- exact inference
- maximum likelihood estimation
- belief networks
- conditional independence
- variational methods
- parameter learning
- partition function
- latent variables
- exponential family
- machine learning