1 citations · 1 across the 3 of their papers we have counts for
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★ 1 cited
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…