2020
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference
AISTATS 2020poster
We propose a matching method that recovers direct treatment effects from randomized experiments where units are connected in an observed network, and units that share edges can potentially influence each others’ outcomes. Traditional treatment effect estimators for randomized experiments are biased…