Tractable Uncertainty for Structure Learning.
Benjie WangMatthew WickerMarta KwiatkowskaPublished in: ICML (2022)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- conditional independence
- parameter learning
- bayesian network classifiers
- transfer learning
- parameter estimation
- markov logic networks
- markov networks
- conditional probabilities
- computational complexity
- bayesian network structure learning
- belief propagation
- probabilistic model
- structure learning algorithm
- network structure
- sample size
- np hard
- latent variables
- model selection
- em algorithm
- worst case
- knowledge representation