37 citations · 149 across the 26 of their papers we have counts for
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stat.ML2018★ 2 cited
Interpretable Almost Matching Exactly for Causal Inference
Yameng Liu, Aw Dieng, Sudeepa Roy +2
We aim to create the highest possible quality of treatment-control matches for categorical data in the potential outcomes framework. Matching methods are heavily used in the social…
stat.ML2017★ 19 cited
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference
Tianyu Wang, Marco Morucci, M. Usaid Awan +4
A classical problem in causal inference is that of matching, where treatment units need to be matched to control units based on covariate information. In this work, we propose a me…