Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference.
Insung KongDongyoon YangJongjin LeeIlsang OhnGyuseung BaekYongdai KimPublished in: CoRR (2023)
Keyphrases
- theoretical guarantees
- neural network
- posterior distribution
- markov chain monte carlo
- posterior probability
- bayesian networks
- bayesian inference
- bayesian model
- markov chain monte carlo methods
- probability distribution
- probabilistic model
- statistical inference
- bayesian models
- bayesian framework
- latent variables
- maximum likelihood
- parameter estimation
- neural network model
- probabilistic inference
- fuzzy logic
- generative model
- artificial neural networks
- gaussian processes
- worst case
- back propagation
- gaussian process
- loopy belief propagation
- bayesian methods
- graphical models
- lower bound