most citedEfficient Multivariate Bandit Algorithm with Path Planning

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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…

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…