390 citations
- Carnegie Mellon UniversityUS7 papers
- University of Illinois Urbana-ChampaignUS7 papers
- University of WashingtonUS7 papers
- Adobe Systems (United States)US6 papers
- Google (United States)US6 papers
- University of GroningenNL5 papers
- University of Southern CaliforniaUS5 papers
- Meta (United States)US4 papers
- Microsoft (United States)US4 papers
- Columbia UniversityUS3 papers
- National University of SingaporeSG3 papers
- Northwestern UniversityUS3 papers
Showing stat.APShow all
2 papers · 1 filter
stat.AP2020
How to Measure Your App: A Couple of Pitfalls and Remedies in Measuring App Performance in Online Controlled Experiments
Yuxiang Xie, Meng Xu, Evan Chow +1
Effectively measuring, understanding, and improving mobile app performance is of paramount importance for mobile app developers. Across the mobile Internet landscape, companies run…
stat.AP2018★ 18 cited
False Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online Controlled Experiments
Yuxiang Xie, Nanyu Chen, Xiaolin Shi
Online controlled experiments (a.k.a. A/B testing) have been used as the mantra for data-driven decision making on feature changing and product shipping in many Internet companies.…