Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions.
Bertrand CharpentierOliver BorchertDaniel ZügnerSimon GeislerStephan GünnemannPublished in: CoRR (2021)
Keyphrases
- exponential family
- variational bayesian
- maximum likelihood
- markov chain monte carlo
- posterior distribution
- density estimation
- statistical models
- closed form
- log likelihood
- graphical models
- missing values
- kl divergence
- posterior probability
- probability distribution
- bayesian inference
- mixture model
- hidden variables
- parameter estimation
- probabilistic model
- probability density function
- bayesian networks
- bayesian framework
- network structure
- statistical model
- generative model
- order statistics
- random variables
- variational methods
- sampling algorithm
- gaussian distribution
- information theoretic
- monte carlo
- data streams