Causal Inference, Machine Learning, Editors Pick, Bcn Causal Algo, Thoughts And Theory.
following: A general framework for estimating causal effects using Machine Learning techniques Confidence intervals for those estimates An estimator that is “root n-consistent”, i.e., an estimator that has good properties in terms of convergence and data-efficiency. And where does this whole idea