Bayesian Inference with Generative Adversarial Network Priors.
Dhruv PatelAssad A. OberaiPublished in: CoRR (2019)
Keyphrases
- bayesian inference
- prior information
- prior distribution
- probabilistic model
- hyperparameters
- gibbs sampler
- bayesian models
- variational bayes
- bayesian model
- variational inference
- generative model
- statistical inference
- weighted model counting
- language model
- hierarchical bayesian
- markov networks
- variational approximation
- probabilistic modeling
- hidden variables
- data sets
- particle filter
- semi supervised
- state space
- prior knowledge
- search space
- learning algorithm