Scalable inference in latent variable models.
Amr AhmedMohamed AlyJoseph GonzalezShravan M. NarayanamurthyAlexander J. SmolaPublished in: WSDM (2012)
Keyphrases
- latent variable models
- latent variables
- graphical structure
- latent dirichlet allocation
- real valued
- hidden variables
- structured prediction
- learning problems
- bayesian networks
- hidden markov models
- bayesian inference
- learning tasks
- probabilistic model
- random variables
- probabilistic inference
- gaussian process
- co occurrence
- latent space