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Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data.
Marco Zaffalon
Alessandro Antonucci
David Huber
Rafael Cabañas
Published in:
CoRR (2022)
Keyphrases
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prior knowledge
data sets
causal models
observational data
causal structure
experimental data
reinforcement learning
data analysis
upper bound
causal discovery
learning algorithm
data sources
continuous data
causal reasoning
bayes nets