Analytically Tractable Hidden-States Inference in Bayesian Neural Networks.
Luong Ha NguyenJames-A. GouletPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- hidden states
- hidden markov models
- neural network
- dynamic bayesian networks
- hidden variables
- bayesian networks
- bayesian inference
- conditional random fields
- exponential family
- hidden state
- generative model
- posterior distribution
- maximum likelihood
- np hard
- markov models
- reinforcement learning
- posterior probability
- prior information
- maximum entropy
- latent variables
- state space
- probabilistic model
- computational complexity
- belief networks
- information extraction
- markov chain monte carlo
- machine learning