Unleashing the Power of Machine Learning for Accurate Causal Inference of Continuous Treatments

Causal inference is possible when the treatments are continuous variables

Amazon scientists presented a paper at ICML proposing a novel way to estimate effects of continuously variable treatment — one that uses a machine from end-to-end… Read more.

Combining an advanced causal-inference method with end-to-end computer learning can reduce root-mean square error by up to 38%.