Identification of Latent Variables From Graphical Model Residuals.
Boris HayeteFred GruberAnna DeckerRaymond YanPublished in: CoRR (2021)
Keyphrases
- latent variables
- graphical models
- probabilistic model
- random variables
- probabilistic graphical models
- approximate inference
- factor graphs
- belief propagation
- exact inference
- bayesian networks
- posterior distribution
- latent variable models
- probabilistic inference
- topic models
- bayesian inference
- markov networks
- conditional independence
- generative model
- gaussian process
- conditional random fields
- structure learning
- hidden variables
- observed variables
- belief networks
- least squares
- causal relationships
- structured prediction
- prior knowledge
- message passing
- natural language processing
- probability distribution
- exponential family
- latent space
- training data
- information retrieval
- undirected graphical models
- machine learning