Revisiting Bayesian Autoencoders with MCMC.
Rohitash ChandraMahir JainManavendra MaharanaPavel N. KrivitskyPublished in: CoRR (2021)
Keyphrases
- posterior distribution
- markov chain monte carlo
- posterior probability
- bayesian inference
- denoising
- bayesian estimation
- monte carlo
- markov chain
- bayesian networks
- probability distribution
- generative model
- metropolis hastings algorithm
- bayesian learning
- bayesian framework
- parameter estimation
- data driven
- monte carlo method
- bayesian model
- latent variables
- expectation propagation
- hyperparameters
- bayesian analysis
- bayesian decision
- feed forward
- sampling algorithm
- maximum entropy
- data sets
- expectation maximization
- maximum likelihood
- probabilistic model
- image processing