1 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2024★ 1 cited
Integer Programming for Generalized Causal Bootstrap Designs
Jennifer Brennan, Sébastien Lahaie, Adel Javanmard +2
In experimental causal inference, we distinguish between two sources of uncertainty: design uncertainty, due to the treatment assignment mechanism, and sampling uncertainty, when t…
stat.ME2023★ 1 cited
Reducing Symbiosis Bias Through Better A/B Tests of Recommendation Algorithms
Jennifer Brennan, Yahu Cong, Yiwei Yu +6
It is increasingly common in digital environments to use A/B tests to compare the performance of recommendation algorithms. However, such experiments often violate the stable unit…