[IDA ML Seminar] Stefan Bauer, Learning Neural Causal Models - 21/9 15:15

[Fredrik Lindsten]

Welcome to an IDA Machine Learning Seminar on September 21, 15:15-16:15.

Stefan Bauer<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.kth.se%2Fprofile%2Fbaue%2F&data=05%7C01%7Cfredrik.lindsten%40liu.se%7C08cf6de0eef74a24f99e08da96926734%7C913f18ec7f264c5fa816784fe9a58edd%7C0%7C0%7C637987852797571947%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=avexJSseJHip0WR%2FA%2FX3frIEwejy6EGe%2BI8zJ4rzwFc%3D&reserved=0>, Division of Decision and Control Systems, KTH Royal Institute of Technology

Title: Learning Neural Causal Models
Abstract: Many questions in everyday life as well as in research are causal in nature: How would the climate change if we lower train prices or will my headache go away if I take an aspirin? Inherently, such questions need to specify the causal variables relevant to the question and their interactions. However, existing algorithms for learning causal graphs from data are often not scaling well, both with the number of variables or the number of observations. This talk will provide a brief introduction to causal structure learning, recent efforts in using continuous optimization to learn causal graphs at scale and systematic approaches to generate interventional data to identify the data generating mechanism as quickly as possible.

Location: Ada Lovelace, House B, https://www.ida.liu.se/department/location/search.en.shtml?keyword=ada

Speaker Bio: Stefan Bauer is currently an assistant professor at KTH Stockholm and a CIFAR Azrieli Global Scholar. Using and developing tools of causality, deep learning and real robotic systems, his research focuses on the longstanding goal of artificial intelligence to design machines that can extrapolate experience across environments and tasks. He obtained his PhD in Computer Science from ETH Zurich and was awarded with the ETH medal for an outstanding doctoral thesis. Before that, he graduated with a BSc and MSc in Mathematics from ETH Zurich and a BSc in Economics and Finance from the University of London (LSE). During his studies, he held scholarships from the Swiss and German National Merit Foundation. In 2019, he won the best paper award at the International Conference of Machine Learning (ICML) and in 2020, he was the lead organizer of the real-robot-challenge.com, a robotics challenge in the cloud.


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Welcome!
IDA Machine Learning Group
Linköping University

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