Foundation Posteriors for Approximate Probabilistic Inference.
Mike WuNoah D. GoodmanPublished in: CoRR (2022)
Keyphrases
- probabilistic inference
- graphical models
- bayesian networks
- weighted model counting
- conditional probabilities
- approximate inference
- belief networks
- context specific independence
- junction tree
- variable elimination
- bayesian belief networks
- influence diagrams
- bucket elimination
- message passing
- efficient inference
- bayesian inference
- posterior probability
- belief propagation
- artificial neural networks
- neural network
- elimination algorithm
- reinforcement learning
- feature vectors