Active Learning for Optimal Intervention Design in Causal Models

1 code implementation • 10 Sep 2022 • JiaQi Zhang, Louis Cammarata, Chandler Squires, Themistoklis P. Sapsis, Caroline Uhler

Here, we develop a causal active learning strategy to identify interventions that are optimal, as measured by the discrepancy between the post-interventional mean of the distribution and a desired target mean.

Active Learning Experimental Design