Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference.
Insung KongDongyoon YangJongjin LeeIlsang OhnGyuseung BaekYongdai KimPublished in: ICML (2023)
Keyphrases
- theoretical guarantees
- neural network
- posterior distribution
- markov chain monte carlo
- posterior probability
- bayesian networks
- bayesian model
- bayesian inference
- probability distribution
- bayesian models
- bayesian framework
- worst case
- markov chain
- markov chain monte carlo methods
- gaussian processes
- gaussian process
- loopy belief propagation
- back propagation
- maximum likelihood
- neural network model
- belief networks
- maximum a posteriori
- generative model
- statistical inference
- fuzzy logic
- probabilistic model
- probabilistic inference
- monte carlo
- approximate inference
- bayesian methods
- linear programming
- artificial neural networks
- machine learning