Machine Learning, Causal Inference, Meta Learning, Instruments, Observational Studies.
outcome. In other words, when the assignment of treatment is unrelated to the measured outcome and their common causes, we can treat it as if it is a randomized experiment. We need to keep in mind that as-if randomness is usually hard to find in practice. The causal estimates will be very sensitive