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