AI RESEARCH
Causal Machine Learning: A Survey and Open Problems
arXiv CS.LG
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ArXi:2206.15475v3 Announce Type: replace Causal Machine Learning (CausalML) is an umbrella term for machine learning methods that formalize the data-generation process as a structural causal model (SCM). This perspective enables us to reason about the effects of changes to this process (interventions) and what would have happened in hindsight (counterfactuals