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Microsoft
IMS-Microsoft Research Workshop: Foundations of Data Science – Graph Cluster Randomization: Design and Analysis for Experiments in Networks
A/B testing is a standard approach for evaluating the effect of online experiments; the goal is to estimate the Average Treatment Effect (ATE) of a new feature or condition by exposing a sample of the overall population to it. A drawback with A/B testing is that it is poorly suited for experiments involving social interference, […]
Jun 17, 2015
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