online ads / online advertising effectiveness measurement / coordinate descent algorithm / online advertising ecosystem / online advertisements / online advertising campaign / advertising applications / machine learning algorithms / online advertising / advertising treatments / learning systems / online interactive rich media advertising / sparse advertising data / ad publisher / online ad campaigns / computational advertising / mobile and online ads / real online advertising campaign / advertising algorithm / upto-date machine learning algorithms / online norms / advertising treatment / advertising strategy / online display advertising / online dataset / real advertising campaign / Internet Economy / internet media / online advertising data / Online Advertising Wei Sun1 / mobile and online platforms / /
OperatingSystem
Xp / Android / Microsoft Windows / /
Organization
Royal Statistical Society / American Statistical Association / Harvard / Artificial Copyright Intelligence / Data Mining and Audience Intelligence / Association for the Advancement / Purdue University / / /
Position
Butcher / additive model for variable selection / model for each treatment / model the relationship / /
Journal of the Royal Statistical Society / The Journal of Machine Learning Research / Journal of the American Statistical Association / Harvard Business Review / /
Technology
machine learning algorithms / upto-date machine learning algorithms / Data Mining / Machine Learning / Android / mobile device / coordinate descent algorithm / mobile devices / advertising algorithm / using machine learning / /
Causal Inference via Sparse Additive Models with Application to Online Advertising Wei Sun1 , Pengyuan Wang2 , Dawei Yin2 , Jian Yang2 , and Yi Chang2 1 2