Approximate Inference in Logical Credal Networks.
Radu MarinescuHaifeng QianAlexander G. GrayDebarun BhattacharjyaFrancisco BarahonaTian GaoRyan RiegelPublished in: IJCAI (2023)
Keyphrases
- approximate inference
- credal networks
- bayesian networks
- graphical models
- probabilistic inference
- exact inference
- belief propagation
- variational methods
- gaussian process
- gibbs sampling
- parameter estimation
- maximum entropy
- factor graphs
- conditional random fields
- dynamic bayesian networks
- latent variables
- set valued
- probabilistic graphical models
- message passing
- conditional independence
- conditional probabilities
- structured prediction
- probabilistic model
- graph cuts
- markov random field
- probability distribution
- directed acyclic graph
- markov networks
- random variables
- energy function
- generative model