Estimating the Partition Function by Discriminance Sampling.
Qiang LiuJian PengAlexander T. IhlerJohn W. Fisher IIIPublished in: UAI (2015)
Keyphrases
- partition function
- importance sampling
- markov random field
- approximate inference
- upper bound
- monte carlo
- closed form
- belief propagation
- random fields
- upper and lower bounds
- markov chain monte carlo
- structured prediction
- parameter estimation
- maximum likelihood estimation
- bayesian framework
- random sampling
- probability density function
- lower bound
- graphical models
- sample size
- structure learning
- kalman filter
- markov chain
- image segmentation
- conditional random fields
- higher order
- special case
- prior knowledge
- pairwise