Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning.
Scott SussexAndreas KrauseCaroline UhlerPublished in: CoRR (2021)
Keyphrases
- experimental design
- structure learning
- bayesian networks
- sample size
- markov blanket
- graphical models
- active learning
- conditional independence
- transfer learning
- empirical studies
- markov networks
- markov logic networks
- probabilistic model
- posterior probability
- causal models
- random variables
- text categorization
- data mining
- conditional probabilities
- class imbalance
- model selection
- feature selection