DiBS: Differentiable Bayesian Structure Learning.
Lars LorchJonas RothfussBernhard SchölkopfAndreas KrausePublished in: CoRR (2021)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- parameter learning
- conditional independence
- bayesian network structures
- bayesian network structure learning
- markov logic networks
- bayesian network classifiers
- probabilistic model
- posterior probability
- transfer learning
- objective function
- bayesian inference
- maximum likelihood
- probabilistic reasoning
- probability distribution
- markov networks
- parameter estimation
- markov blanket
- structure learning algorithm
- random variables
- maximum likelihood estimation
- conditional probabilities
- naive bayes
- posterior distribution
- belief propagation
- machine learning algorithms
- natural language processing
- sample size
- active learning