3 papers
stat.AP2019
Dealing With Ratio Metrics in A/B Testing at the Presence of Intra-User Correlation and Segments
Keyu Nie, Yinfei Kong, Ted Tao Yuan +1
We study ratio metrics in A/B testing at the presence of correlation among observations coming from the same user and provides practical guidance especially when two metrics contra…
cs.LG2019
Efficient Multivariate Bandit Algorithm with Path Planning
Keyu Nie, Zezhong Zhang, Ted Tao Yuan +2
In this paper, we solve the arms exponential exploding issue in multivariate Multi-Armed Bandit (Multivariate-MAB) problem when the arm dimension hierarchy is considered. We propos…
stat.AP2019
Measuring Average Treatment Effect from Heavy-tailed Data
Jason, Wang, Pauline Burke
Heavy-tailed metrics are common and often critical to product evaluation in the online world. While we may have samples large enough for Central Limit Theorem to kick in, experimen…