Attendance Information
Registration
AABI 2025 is a free event. Spots are limited!
We have limited space, please cancel your registration if you are unable to attend! This will allow others to register.
In case the spots are all taken, you can add yourself to the waiting list. We will contact you if new spots opened up.
Venue
AABI 2025 will be hosted at the NTU College of Computing and Data Science.
Lecture Theatre 176 Nanyang DriveLevel 2, North Spine PlazaNanyang Technological UniversitySingapore 637331Schedule
| Time | Event | Note |
|---|---|---|
| 08:00 – 09:00 | Check-In | |
| 09:00 – 09:13 | Opening Remarks | Tim G. J. Rudner and Vincent Fortuin |
| 09:13 – 09:15 | Sponsor Remarks | BASIS |
Session 1 — Chair: Christian Naesseth | ||
| 09:15 – 10:00 | Invited Talk 1 | Adaptive Bayesian Intelligence (ABI) Mohammad Emtiyaz Khan |
| 10:00 – 10:15 | Contributed Talk 1 | Sparse Gaussian Neural Processes Tommy Rochussen, Vincent Fortuin |
| 10:15 – 10:30 | Contributed Talk 2 | From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning Zhe Huang, Simone Rossi, Rui Yuan, Thomas Hannagan |
| 10:30 – 11:00 | Break | Refreshments provided |
Session 2 — Chair: Agustinus Kristiadi | ||
| 11:00 – 11:45 | Invited Talk 2 | Bayesian Inference for Invariant Feature Discovery from Multi-Environment Data Luhuan Wu |
| 11:45 – 12:00 | Contributed Talk 3 | Deep Q-Exponential Processes Zhi Chang, Chukwudi Paul Obite, Shuang Zhou, Shiwei Lan |
| 12:00 – 12:15 | Contributed Talk 4 | Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations Chengkun LI, Bobby Huggins, Petrus Mikkola, Luigi Acerbi |
| 12:15 – 14:00 | Lunch & Poster Session 1 | Lunch provided Proceedings: All papers Workshop: Papers 17–33 Fast track: Papers 12–24 Refer to the accepted papers list |
Session 3 — Chair: James Allingham | ||
| 14:00 – 14:45 | Invited Talk 3 | LLM Predictive Distributions Over Functions James Requeima |
| 14:45 – 15:00 | Contributed Talk 5 | Divide, Conquer, Combine Bayesian Decision Tree Sampling Jodie Anne Cochrane, Adrian Wills, Sarah J Johnson |
| 15:00 – 15:30 | Break | Refreshments provided |
| 15:30 – 15:45 | Contributed Talk 6 | U-ensembles: Improved diversity in the small data regime using unlabeled data Konstantinos Pitas, Hani Anouar Bourrous, Julyan Arbel |
| 15:45 – 16:00 | Contributed Talk 7 | Massively Parallel Expectation Maximization For Approximate Posteriors Thomas Heap, Sam Bowyer, Laurence Aitchison |
| 16:00 – 17:00 | Poster Session 2 | Proceedings: All papers Workshop: Papers 1–16 Fast track: Papers 1–11 Refer to the accepted papers list |
| 17:00 – 17:45 | Panel Discussion | The Role of Probabilistic Machine Learning in the Age of Foundation Models and Agentic AI Mohammad Emtiyaz Khan, Luhuan Wu, James Requeima Moderator: Siddharth Swaroop |
| 17:45 – 18:00 | Closing Remarks | Vincent Fortuin |
