Workshop on Uncertainty in Machine Learning (February 2-4 2026 in Tartu, Estonia)
Motivation and Focus
The notion of uncertainty is of major importance in machine learning and constitutes a key element of modern machine learning methodology. In recent years, it has gained in importance due to the increasing relevance of machine learning for practical applications, many of which are coming with safety requirements. In this regard, new problems and challenges have been identified by machine learning scholars, which call for new methodological developments. Indeed, while uncertainty has long been perceived as almost synonymous with standard probability and probabilistic predictions, recent research has gone beyond traditional approaches and also leverages more general formalisms and uncertainty calculi. For example, a distinction between different sources and types of uncertainty, such as aleatoric and epistemic uncertainty, turns out to be useful in many machine learning applications. The workshop will pay specific attention to recent developments of this kind.
VENUE
The workshop will be hosted at the University of Tartu, Delta Centre, in Tartu, Estonia. The address is: Narva maantee 18, Tartu, Estonia
REGISTRATION
Registration is open here: https://forms.gle/y1RQbg8qr1rBJK7g8 and it will remain open until January 7, 2026. However, we kindly ask for early registration to facilitate planning of the workshop.
WEBSITE AND PREVIOUS EVENTS
https://sites.google.com/view/wuml2026/home
Program at a Glance (Tentative)
