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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