GFlowNets and variational inference.
Nikolay MalkinSalem LahlouTristan DeleuXu JiEdward J. HuKatie EverettDinghuai ZhangYoshua BengioPublished in: CoRR (2022)
Keyphrases
- variational inference
- bayesian inference
- topic models
- posterior distribution
- variational methods
- probabilistic model
- latent dirichlet allocation
- probabilistic graphical models
- gaussian process
- mixture model
- closed form
- exponential family
- approximate inference
- factor graphs
- exact inference
- graphical models
- bayesian networks
- probability distribution
- hyperparameters
- text mining
- markov networks
- message passing
- language model
- optic flow
- latent variables
- prior information
- first order logic
- parameter estimation