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Found 3 papers, 2 papers with code
Differentially Private Estimation of Heterogeneous Causal Effects
Our meta-algorithm can work with simple, single-stage CATE estimators such as S-learner and more complex multi-stage estimators such as DR and R-learner.
Matching on What Matters: A Pseudo-Metric Learning Approach to Matching Estimation in High Dimensions
When pre-processing observational data via matching, we seek to approximate each unit with maximally similar peers that had an alternative treatment status--essentially replicating a randomized block design.
Pricing Engine: Estimating Causal Impacts in Real World Business Settings
We introduce the Pricing Engine package to enable the use of Double ML estimation techniques in general panel data settings.
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