Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions.
Bertrand CharpentierOliver BorchertDaniel ZügnerSimon GeislerStephan GünnemannPublished in: ICLR (2022)
Keyphrases
- exponential family
- variational bayesian
- maximum likelihood
- markov chain monte carlo
- graphical models
- posterior distribution
- density estimation
- statistical models
- missing values
- kl divergence
- log likelihood
- mixture model
- bayesian inference
- closed form
- posterior probability
- hidden variables
- probabilistic model
- probability distribution
- parameter estimation
- bayesian networks
- markov chain
- variational methods
- order statistics
- probability density function
- generative model
- bayesian framework
- sampling algorithm
- em algorithm
- markov random field
- semi supervised