Revisiting Auxiliary Latent Variables in Generative Models.
Dieterich LawsonGeorge TuckerBo DaiRajesh RanganathPublished in: DGS@ICLR (2019)
Keyphrases
- latent variables
- generative model
- probabilistic model
- topic models
- prior knowledge
- mixture model
- posterior distribution
- hierarchical model
- graphical models
- latent structure
- discriminative models
- gaussian process
- conditional random fields
- discriminative learning
- hidden variables
- language model
- latent variable models
- probabilistic graphical models
- bayesian networks
- bayesian framework
- latent space
- approximate inference
- posterior probability
- language modeling
- object categories
- bayesian inference
- random variables
- expectation maximization
- parameter learning
- structured prediction
- conditional probabilities
- boltzmann machine
- training data
- learning tasks
- parameter estimation