DMIR实验室

7月10日上午，卡内基梅隆大学黄碧薇博士应邀到DMIR实验室作题为《Causal Discovery and Prediction in the Presence of Distribution Shifts》的学术讲座。本次讲座中，黄碧薇博士基于自己的工作，向实验室师生介绍了针对一类数据的因果关系发现框架，以及一种时变因果建模和预测方法。DMIR师生参与了此次讲座，并在与报告者的讨论中得到了丰富的收获。

黄碧薇博士作报告

报告人简介:

Biwei Huang is a Ph.D. candidate in the philosophy department at Carnegie Mellon University (CMU), supervised by Prof. Kun Zhang and Prof. Clark Glymour. Before joining CMU, she studied at the University of Tübingen and Max-Planck Institute for Intelligent Systems in Germany. Her main research interests include causal discovery, machine learning, and computational neuroscience. She is actively exploring theoretical implementations in causal discovery, how causal knowledge facilitates learning problems, and practical uses of causality in neuroscience, biology, etc.