Workshop on Uncertainty in Machine Learning (WUML 2026), Tartu, Feb 2–4, 2026
Meelis Kull (University of Tartu)
Dear colleagues,
We are pleased to announce that the Workshop on Uncertainty in Machine Learning (WUML 2026) will be held on February 2–4, 2026, at the University of Tartu, Estonia.
Following the successful previous editions in Ghent (2023), Munich (2024) and Milan (2025), WUML 2026 will continue to provide an open and informal forum for discussing recent advances and challenges in uncertainty in machine learning.
The first WUML workshop was held in 2015, and the event has been held annually since 2023. The goal of this workshop is to bring together researchers interested in the topic of uncertainty in machine learning. It aims to provide a forum for discussing the latest developments in modeling and quantifying uncertainty in machine learning problems, as well as for exploring new research directions in this field. We are pleased to announce that the keynote talks will be given by Willem Waegeman (Ghent University), Ilja Kuzborskij (Google DeepMind) and that the workshop will also feature an invited talk by Arun Kumar Singh (University of Tartu).
As in previous years, WUML 2026 will be an informal event without a paper submission system. Participants are welcome to give a talk, present a poster, or simply attend the workshop. Participation is free of charge, though attendees are expected to cover their own travel and accommodation expenses.
Preliminary information about the workshop is available at:
https://sites.google.com/view/wuml2026
Please confirm your attendance by January 7, 2026, using the form below:
https://forms.gle/Gom361htiTd48pfU9
Please note that, due to room capacity and expected interest, participation will be limited to a maximum of 150 attendees.
For any questions, please feel free to contact the organizers. You are also welcome to share this announcement with colleagues or students who may be interested in attending.
We look forward to seeing you in Tartu!
On behalf of the WUML 2026 Organizing CommitteeMeelis Kull