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ORCIDAABI 2025: Singapore
- James Urquhart Allingham, Siddharth Swaroop:
Symposium on Advances in Approximate Bayesian Inference, NTU College of Computing and Data Science, Singapore, 29 April 2025. Proceedings of Machine Learning Research 289, PMLR 2025 - Zhi Chang, Chukwudi Paul Obite, Shuang Zhou, Shiwei Lan:
Deep Q-Exponential Processes. 1-24 - Thomas Heap, Sam Bowyer, Laurence Aitchison:
Massively Parallel Expectation Maximization For Approximate Posteriors. 25-66 - Zhe Huang, Simone Rossi, Rui Yuan, Thomas Hannagan:
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning. 67-90 - Chengkun Li, Bobby Huggins, Petrus Mikkola, Luigi Acerbi:
Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations. 91-130 - Konstantinos Pitas, Hani Anouar Bourrous, Julyan Arbel:
U-ensembles: Improved diversity in the small data regime using unlabeled data. 131-167 - Jodie A. Cochrane, Adrian Wills, Sarah J. Johnson:
Divide, Conquer, Combine Bayesian Decision Tree Sampling. 168-193 - Tommy Rochussen, Vincent Fortuin:
Sparse Gaussian Neural Processes. 194-219
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