Teaser image to 5th MCML Workshop on Causal Machine Learning

Workshop

5th MCML Workshop on Causal Machine Learning

Organized by Our PI Stefan Feuerriegel and His Team

   13.08.2026

   11:00 am - 8:00 pm

   Professor-Huber-Platz 2, W201 (LMU Munich)

Causal inference has become highly important in many fields, such as medicine or marketing, and has received increasing attention from researchers in machine learning in recent years. The MCML Workshop in Causal Machine Learning invites causal ML researchers to present their work. The workshop aims to bring together researchers from different fields to discuss possible interconnections between their work and foster future collaborations.


Participation and Registration

Participation is open to all MCML members as well as researchers from other institutions. To register for the workshop, please fill in this Google Form by 26th July 2026.


Research Presentation

Participants are invited to give a talk on their research work in a 20-minute presentation (+ 10-minute Q&A). As presentation slots are limited, we kindly ask interested participants to apply for a presentation with a title and abstract of the work via email to both Yuxin Wang and Stefan Feuerriegel by 26th July 2026.

Preference will be given to works that are not published (i.e. working papers); please indicate so in your email.


Schedule

10:00 am – 10:15 am

Welcome

Stefan Feuerriegel, LMU


10:15 am – 11:15 am

Tutorial: TBD


11:15 am – 11:45 am

Keynote: TBD


11:45 am – 1:30 pm

Lunch Break (lunch not provided)

Coffee will be served from 13:00 in the seminar room


1:30 pm – 2:30 pm

Tutorial: TBD


2:30 pm – 3:00 pm

Coffee break


3:00 pm – 3:30 pm

Keynote: TBD


3:30 pm – 4:00 pm

Keynote: TBD


4:00 pm – 4:30 pm

Coffee Break


4:30 pm – 5:00 pm

Keynote: TBD


5:00 pm – 5:30 pm

Keynote: TBD


5:30 pm – 8:00 pm

Dinner & networking (beer garden; at own expenses)


Notes: Presentation: DVI+VGA available. For Mac, please bring your converter.

Organized by:

Stefan Feuerriegel and team
MCML / Institute of AI in Management, LMU Munich


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