BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery.
Yashas AnnadaniNick PawlowskiJoel JenningsStefan BauerCheng ZhangWenbo GongPublished in: CoRR (2023)
Keyphrases
- causal discovery
- causal models
- causal relationships
- discovery process
- markov chain monte carlo
- causal structure
- bayesian networks
- metropolis hastings
- directed acyclic graph
- conditional independence
- probability distribution
- gaussian process
- databases
- markov blanket
- posterior distribution
- random sampling
- posterior probability
- sample size
- probabilistic model
- observational data
- co occurrence
- dynamic programming
- association rules
- random variables
- lower bound
- decision makers