Efficient, certifiably optimal clustering with applications to latent variable graphical models.
Carson EisenachHan LiuPublished in: Math. Program. (2019)
Keyphrases
- graphical models
- latent variables
- probabilistic model
- random variables
- approximate inference
- probabilistic graphical models
- factor graphs
- belief propagation
- probabilistic inference
- exact inference
- gaussian process
- probabilistic latent semantic analysis
- conditional random fields
- structure learning
- clustering algorithm
- bayesian networks
- latent variable models
- conditional independence
- markov networks
- map inference
- probability distribution
- k means
- posterior distribution
- belief networks
- dynamic programming
- generative model
- optimal solution
- latent dirichlet allocation
- message passing
- hidden markov models