Attendance Information
AABI 2025 has been concluded. See you at AABI 2026 next year!
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 |
