Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs.
AmirEmad GhassamiAlan YangNegar KiyavashKun ZhangPublished in: ICML (2020)
Keyphrases
- structure learning
- directed graph
- graphical models
- bayesian networks
- conditional independence
- directed acyclic graph
- parameter learning
- random walk
- random variables
- transfer learning
- undirected graph
- parameter estimation
- probability distribution
- sample size
- markov logic networks
- network structure
- graph structure
- strongly connected
- markov networks
- np hard