管理科学系学术讲座
时 间：2023年12月18日（周一） 9:30-11:00
地 点：腾讯会议
会议ID: 284 894 224，密码: 231218
主 题：Non-stationary A/B Tests
主讲人：郑泽宇 加州大学伯克利分校助理教授
主持人：洪流 复旦大学管理学院教授
摘 要：A/B tests, also known as online randomized controlled experiments, have been used at scale by data-driven enterprises to guide decisions and test innovative ideas to improve core business metrics. Meanwhile, non-stationarities, such as the time-of-day effect and the day-of-week effect, can often arise nonparametrically in key business metrics, including for example, revenue, click-through rates, conversions, customer welfare, etc. We discuss in this presentation the impact and challenges of non-stationarities on A/B tests. We then discuss some scenarios where such impact and challenges can be appropriately addressed.
主讲人简介：Zeyu Zheng is an Assistant Professor from UC Berkeley, the Department of Industrial Engineering and Operations Research. He received a PhD degree in Operations Research (2018) and a master degree in Economics (2016) from Stanford University, and a Bachelor degree (2012) in Mathematics from Peking University. He has done research in stochastic simulation and stochastic modeling.
管理科学系
2023-12-14
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