Machine Learning and Causal Inference for Advertising Effectiveness

Author: Susan Athey, Stanford Graduate School of Business, Stanford University Abstract: This talk will review several recent methodological approaches to measuring the effectiveness of treatments, such as advertising campaigns. We will discuss methods for dealing with non-random assignment of advertisements to users, as well as methods for estimating optimal policies for assigning advertising to users. More on http://www.kdd.org/kdd2017/ KDD2017 Conference is published on http://videolectures.net/