Learning Exponential Family Graphical Models with Latent Variables using Regularized Conditional Likelihood.
Armeen TaebParikshit ShahVenkat ChandrasekaranPublished in: CoRR (2020)
Keyphrases
- graphical models
- exponential family
- latent variables
- probabilistic model
- hidden variables
- random variables
- approximate inference
- probabilistic graphical models
- factor graphs
- markov networks
- latent variable models
- bregman divergences
- parameter learning
- belief propagation
- exact inference
- structured prediction
- structure learning
- prior knowledge
- discriminative learning
- graphical structure
- bayesian networks
- probabilistic inference
- variational methods
- conditional random fields
- learning algorithm
- generative model
- supervised learning
- gaussian process
- posterior distribution
- message passing
- belief networks
- statistical models
- kl divergence
- probability distribution