Understanding Deep Generative Models with Generalized Empirical Likelihoods.
Suman V. RavuriMélanie ReyShakir MohamedMarc Peter DeisenrothPublished in: CoRR (2023)
Keyphrases
- generative model
- posterior probability
- probabilistic model
- likelihood function
- mixture model
- discriminative learning
- bayesian framework
- hierarchical hidden markov models
- discriminative models
- em algorithm
- prior knowledge
- semi supervised
- maximum likelihood
- maximum entropy principle
- deep belief networks
- machine learning
- conditional random fields
- topic models
- hidden variables
- generative and discriminative models
- graphical models
- semi supervised learning
- object categories
- hidden markov models