Inference for High-dimensional Exponential Family Graphical Models.
Jialei WangMladen KolarPublished in: AISTATS (2016)
Keyphrases
- exponential family
- graphical models
- probabilistic inference
- high dimensional
- exact inference
- undirected graphical models
- bayesian networks
- belief networks
- factor graphs
- belief propagation
- approximate inference
- random variables
- probabilistic model
- probabilistic graphical models
- relational dependency networks
- low dimensional
- directed graphical models
- conditional random fields
- markov networks
- conditional independence
- structure learning
- markov chain monte carlo
- variational methods
- bregman divergences
- dimensionality reduction
- maximum likelihood
- feature space
- higher order
- closed form
- nearest neighbor