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stat.ML2023★ 1 cited
Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests
Rahul Ladhania, Jann Spiess, Lyle Ungar +1
We consider learning personalized assignments to one of many treatment arms from a randomized controlled trial. Standard methods that estimate heterogeneous treatment effects separ…
stat.ML2017★ 7 cited
Machine-Learning Tests for Effects on Multiple Outcomes
Jens Ludwig, Sendhil Mullainathan, Jann Spiess
In this paper we present tools for applied researchers that re-purpose off-the-shelf methods from the computer-science field of machine learning to create a "discovery engine" for…