A Family of Bayesian Cramér-Rao Bounds, and Consequences for Log-Concave Priors.
Efe ArasKuan-Yun LeeAshwin PananjadyThomas A. CourtadePublished in: CoRR (2019)
Keyphrases
- pac bayesian
- prior distribution
- upper bound
- bayesian approaches
- lower bound
- prior probabilities
- belief nets
- bayesian models
- bayesian networks
- special case
- bayesian estimation
- data driven
- bayesian inference
- posterior distribution
- bayesian learning
- maximum likelihood
- bayesian framework
- rao bound
- upper and lower bounds
- bayesian decision
- neural network
- image prior
- lower and upper bounds
- vc dimension
- posterior probability
- worst case
- kullback leibler divergence
- decision theory
- tight bounds
- latent variables
- error bounds
- scoring metrics
- maximum a posteriori
- super resolution
- data sets
- metropolis hastings algorithm
- generalized em algorithm