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Machine Learning for Variance Reduction in Online Experiments


Jun 16, 2021
Yongyi Guo, Dominic Coey, Mikael Konutgan, Wenting Li, Chris Schoener, Matt Goldman


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Matching on What Matters: A Pseudo-Metric Learning Approach to Matching Estimation in High Dimensions


May 28, 2019
Gentry Johnson, Brian Quistorff, Matt Goldman


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Pricing Engine: Estimating Causal Impacts in Real World Business Settings


Jun 12, 2018
Matt Goldman, Brian Quistorff

* 8 pages, 1 figure 

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Orthogonal Machine Learning for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels


Jan 10, 2018
Victor Chernozhukov, Matt Goldman, Vira Semenova, Matt Taddy


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