Estimating Latent-Variable Graphical Models using Moments and Likelihoods.
Arun Tejasvi ChagantyPercy LiangPublished in: ICML (2014)
Keyphrases
- latent variables
- graphical models
- random variables
- probabilistic model
- approximate inference
- probabilistic graphical models
- factor graphs
- belief propagation
- posterior distribution
- probabilistic inference
- conditional independence
- conditional random fields
- latent variable models
- structure learning
- exact inference
- bayesian networks
- gaussian process
- markov networks
- map inference
- real valued
- directed acyclic graph
- prior knowledge
- hidden variables
- belief networks
- conditional probabilities
- generative model
- latent space
- structured prediction
- posterior probability
- natural language processing
- natural language