Robust Counterfactual Inferences using Feature Learning and their Applications

no code implementations • 22 Aug 2018 • Abhimanyu Mitra, Kannan Achan, Sushant Kumar

From the randomized experiment, we learn the feature representations which divide the population into subpopulations where we observe statistically significant difference in average customer feedback between those who were subjected to the intervention and those who were not, with a level of significance l, where l is a configurable parameter in our model.

counterfactual Counterfactual Inference