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