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Learning in Google Ads, Machines and People

Seminar: Neyman Seminar | October 17 | 4-5 p.m. | 1011 Evans Hall


Niall Cardin, Google

Department of Statistics


This talk is in two parts, both of which discuss interesting uses of experiments in Google search ads. In part 1 I discuss how we can inject randomness into our system to get causal inference in a machine learning setting. In part 2. I talk about experiment designs to measure how users learn in response to ads on Google.com.


CA, 5106422781