Data Science and Analytics Thrust Seminar | Causal Representation Learning

Name: Data Science and Analytics Thrust Seminar | Causal Representation Learning
Start: 2024-03-25
End: 2024-03-25
Location: Meeting ID: 859 7773 5763

2024 年 3 月 25 日

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

活動形式

研討會, 演講, 講座

講者/ 表演者:

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/.

語言

英文

適合對象

校友

教職員

公眾

研究生

本科生

主辦單位

Data Science and Analytics Thrust, HKUST(GZ)

聯絡方法