2022
Outcome Assumptions and Duality Theory for Balancing Weights
AISTATS 2022poster
We study balancing weight estimators, which reweight outcomes from a source population to estimate missing outcomes in a target population. These estimators minimize the worst-case error by making an assumption about the outcome model. In this paper, we show that this outcome assumption has two imme…