Privacy-preserving Quantile Treatment Effect Estimation for Randomized Controlled Trials
随机对照试验中保护隐私的分位数处理效应估计
In accordance with the principle of "data minimization", many internet companies are opting to record less data. However, this is often at odds with A/B testing efficacy. For experiments with units with multiple observations, one popular data minimizing technique is to aggregate data for each unit. However, exact quantile estimation requires the full observation-level data. In this paper, we develop a method for approximate Quantile Treatment Effect (QTE) analysis using…