Data Science and Analytics Thrust Seminar | Causal Representation Learning

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3:00pm - 4:00pm
Meeting ID: 859 7773 5763
Passcode: dsat

Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：

Causal Representation Learning plays an important role in artificial intelligence. It help the machine learning models to understand the underling physical rules in the world from the high dimensional observational data. In this talk, we will introduce the basic understanding, the current challenges of causal representation learning. Then we will introduce the method, theoretical guarantee and applications about causal representation learning on 1) how to understanding the world? 2) how to apply it to the downstream tasks. Finally, we will introduce the potential future direction.

Passcode: dsat
Event Format
Seminar, Lecture, Talk
Speakers / Performers:
Mengyue yang
University College London

Mengyue Yang is a doctoral student from University College London, supervised by Professor Jun Wang. Her research interests lie in causal inference and reinforcement learning. She has published multiple papers as the first author in top-tier conferences and journals in the field of machine learning. For more information, you can visit her personal webpage at https://ymy4323460.github.io/.

Language
English
Recommended For
Alumni
Faculty and staff
General public
PG students
UG students
Organizer
Data Science and Analytics Thrust, HKUST(GZ)
Contact

dsat@hkust-gz.edu.cn

Engineering
Science & Technology
HKUST(GZ)
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