Rethinking the Role of
Bayesianism in the Age of Modern AI
October 27-31, 2025 | MBZUAI, Abu Dhabi, UAE
Following the success of the Dagstuhl Seminar in 2024, this focused workshop on "Rethinking the Role of Bayesianism in the Age of Modern AI" will take place from October 27 to 31, 2025. The gathering will bring together researchers exploring the frontiers of Bayesian Machine Learning and Deep Learning in a collaborative atmosphere.
Despite the recent success of large-scale deep learning, these systems still fall short in terms of their reliability and trustworthiness. They often lack the ability to estimate their own uncertainty in a calibrated way, encode meaningful prior knowledge, avoid catastrophic failures, and reason about their environments to avoid such failures.
Bayesian deep learning (BDL) has harbored the promise of achieving these desiderata by combining the statistical foundations of Bayesian inference with the practically successful engineering solutions of deep learning methods. However, compared to its promise, BDL methods often do not live up to expectations in terms of real-world impact.
This workshop aims to rethink and redefine the promises and challenges of Bayesian approaches; elucidate which Bayesian methods might prevail against their non-Bayesian competitors; and identify key application areas where Bayes can shine. The event is planned as a small, discussion-driven gathering with a relaxed and collaborative atmosphere, and is designed to encourage deep exchange, new ideas, and informal collaboration across intersecting areas of research.
The workshop will cover a broad range of topics at the intersection of Bayesian methods and modern AI, including:
Graduate students and early career researchers are especially encouraged to participate. This is a unique opportunity to engage with leaders in the field and discover future research directions.
The workshop brings together a mix of researchers from diverse career stages and backgrounds to foster meaningful dialogue and spark new collaborations.
More participants to be announced soon.
The workshop features a highly interactive program, focusing on active participation and discussion among participants. The schedule will include:
A detailed program will be available closer to the workshop date.
For questions about the workshop, please contact: