Theoretical guarantees for sampling and inference in generative models with latent diffusions.
Belinda TzenMaxim RaginskyPublished in: COLT (2019)
Keyphrases
- generative model
- theoretical guarantees
- markov chain monte carlo
- generative process
- probabilistic model
- latent structure
- discriminative learning framework
- boltzmann machine
- latent variables
- posterior probability
- worst case
- mixture model
- discriminative learning
- prior knowledge
- conditional random fields
- discriminative models
- latent dirichlet allocation
- representational power
- em algorithm
- monte carlo
- bayesian inference
- topic models
- expectation maximization
- object categories
- semi supervised
- probability distribution
- discriminative methods
- generative and discriminative models
- latent variable models
- structured prediction
- active learning