Probabilistic Inference with Generating Functions for Poisson Latent Variable Models.
Kevin WinnerDaniel R. SheldonPublished in: NIPS (2016)
Keyphrases
- probabilistic inference
- latent variable models
- graphical models
- latent variables
- bayesian networks
- belief networks
- approximate inference
- message passing
- conditional probabilities
- real valued
- random variables
- bayesian belief networks
- closed form
- hidden variables
- discriminative learning
- hidden markov models
- graphical structure
- junction tree
- latent dirichlet allocation
- exact inference
- learning algorithm
- probabilistic model
- latent space
- topic models
- prior knowledge
- generative model