From Experimentation to Causal Learning: Applied Research in Tech Industry
Zhenyu Zhao, Data Science Director at Tencent, Ph.D. Department of Statistics, Northwestern University
Abstract: Nowadays, experimentation is an essential method for making decisions and improving user experience based on causal effects in the tech industry. In the meanwhile, causal learning has been gaining momentum in the recent few years.
This talk will discuss two applied research topics: 1) sequential testing in experimentation and 2) feature selection methods for uplift modeling (a causal learning model); to illustrate how applied research is carried out to address real business problems in practice.
Kisa Kowal
(847) 491-3974
Email