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Weitao Duan
Researcher at LinkedIn
Publications - 16
Citations - 276
Weitao Duan is an academic researcher from LinkedIn. The author has contributed to research in topics: Metric (mathematics) & A/B testing. The author has an hindex of 7, co-authored 16 publications receiving 177 citations. Previous affiliations of Weitao Duan include Northwestern University & Microsoft.
Papers
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Journal ArticleDOI
Top Challenges from the first Practical Online Controlled Experiments Summit
Somit Gupta,Ron Kohavi,Diane Tang,Ya Xu,Reid Andersen,Eytan Bakshy,Niall Cardin,Sumita Chandran,Nanyu Chen,Dominic Coey,Mike Curtis,Alex Deng,Weitao Duan,Peter Forbes,Brian Frasca,Tommy Guy,Guido W. Imbens,Guillaume Saint Jacques,Pranav Kantawala,Ilya Katsev,Moshe Katzwer,Mikael Konutgan,Elena Kunakova,Minyong Lee,MJ Lee,Joseph Liu,James McQueen,Amir Najmi,Brent R. Smith,Vivek Trehan,Lukas Vermeer,Toby Walker,Jeffrey Wong,Igor Yashkov +33 more
TL;DR: The first paper to provide the top challenges faced across the industry for running OCEs at scale and some common solutions is provided.
Proceedings ArticleDOI
Detecting Network Effects: Randomizing Over Randomized Experiments
Martin Saveski,Jean Pouget-Abadie,Guillaume Saint-Jacques,Weitao Duan,Souvik Ghosh,Ya Xu,Edoardo M. Airoldi +6 more
TL;DR: A new experimental design is leverage for testing whether SUTVA holds, without making any assumptions on how treatment effects may spill over between the treatment and the control group, and the proposed methodology can be applied to settings in which a network is not necessarily observed but, if available, can be used in the analysis.
Journal ArticleDOI
Testing for arbitrary interference on experimentation platforms
Jean Pouget-Abadie,Guillaume Saint-Jacques,Martin Saveski,Weitao Duan,Souvik Ghosh,Ya Xu,Edoardo M. Airoldi +6 more
TL;DR: An experimental design strategy for testing whether the classic assumption of no interference among users, under which the outcome of one user does not depend on the treatment assigned to other users, is rarely tenable on such platforms is introduced.
Journal ArticleDOI
Sliced Full Factorial-Based Latin Hypercube Designs as a Framework for a Batch Sequential Design Algorithm
TL;DR: This article presents a batch sequential experiment design method that uses sliced full factorial-basedLatin hypercube designs (sFFLHDs), which are an extension to the concept of sliced orthogonal array-based Latin hyper cube designs (OALHDs) and shows that the approach has good sampling and fitting qualities through both empirical studies and theoretical arguments.
Proceedings ArticleDOI
SQR: Balancing Speed, Quality and Risk in Online Experiments
Ya Xu,Weitao Duan,Shaochen Huang +2 more
TL;DR: In this paper, the authors propose a framework that can effectively balance among Speed, Quality and Risk (SQR) principles in A/B testing, which is used to accelerate product innovations in the online world.