Causal machine learning

Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
We study the best-achievable identification guarantees and provable identification algorithms for causal representation learning when hard interventions are not available.
Jikai Jin, Vasilis Syrgkanis
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