Dominic Coey

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 5

Top Topics

Control Problems

Variance Reduction

Analytical Expressions

Machine Learning

Top Venues

Publications

Dominic Coey, Bradley J. Larsen, Kane Sweeney, Caio Waisman
Scalable Optimal Online Auctions. Mark. Sci. 40 (4) (2021)
Yongyi Guo, Dominic Coey, Mikael Konutgan, Wenting Li, Chris Schoener, Matt Goldman
Machine Learning for Variance Reduction in Online Experiments. NeurIPS (2021)
Yongyi Guo, Dominic Coey, Mikael Konutgan, Wenting Li, Chris Schoener, Matt Goldman
Machine Learning for Variance Reduction in Online Experiments. CoRR (2021)
Dominic Coey, Tom Cunningham
Improving Treatment Effect Estimators Through Experiment Splitting. WWW (2019)
Dominic Coey, Michael Bailey
People and Cookies: Imperfect Treatment Assignment in Online Experiments. WWW (2016)
Thomas Blake, Dominic Coey
Why marketplace experimentation is harder than it seems: the role of test-control interference. EC (2014)