Interventions, Where and How? Experimental Design for Causal Models at Scale.
Panagiotis TigasYashas AnnadaniAndrew JessonBernhard SchölkopfYarin GalStefan BauerPublished in: NeurIPS (2022)
Keyphrases
- experimental design
- causal models
- causal discovery
- empirical studies
- active learning
- causal relations
- causal relationships
- sample size
- causal structure
- structural equation models
- directed acyclic graph
- causal reasoning
- tractable cases
- experimental designs
- feature selection
- data sets
- data mining
- model selection
- prior knowledge