20 citations · 39 across the 5 of their papers we have counts for
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stat.AP2022★ 1 cited
Representation-Aware Experimentation: Group Inequality Analysis for A/B Testing and Alerting
Rina Friedberg, Stuart Ambler, Guillaume Saint-Jacques
As companies adopt increasingly experimentation-driven cultures, it is crucial to develop methods for understanding any potential unintended consequences of those experiments. We m…
stat.AP2019★ 1 cited
A Method for Measuring Network Effects of One-to-One Communication Features in Online A/B Tests
Guillaume Saint-Jacques, James Eric Sorenson, Nanyu Chen +1
A/B testing is an important decision making tool in product development because can provide an accurate estimate of the average treatment effect of a new features, which allows dev…