Analytically Tractable Hidden-States Inference in Bayesian Neural Networks.
Luong Ha NguyenJames-A. GouletPublished in: CoRR (2021)
Keyphrases
- hidden states
- hidden markov models
- neural network
- hidden variables
- dynamic bayesian networks
- bayesian networks
- conditional random fields
- bayesian inference
- exponential family
- hidden state
- maximum likelihood
- generative model
- posterior distribution
- markov random field
- approximate inference
- markov models
- markov chain monte carlo
- graphical models
- parameter estimation
- posterior probability
- probability distribution
- np hard