The biennial Bayes Comp meetings are organized by the Bayesian Computation Section of the International Society for Bayesian Analysis. Bayes Comp 2025 is the fourth conference in the series and is hosted by the Department of Statistics and Data Science at the National University of Singapore.
The Bayesian approach to learning from data has a very long history, but it has only flourished in modern applications with the use of modern computational tools. Bayes Comp 2025 gives a snapshot of the current state of the diverse and exciting field of Bayesian computation.
Interim Programme - Subjected to Changes
A common justification for the use of Bayesian inference is that Bayes’ theorem is the optimal way to update beliefs based on new observations, and that representing beliefs through a posterior distribution is desirable for uncertainty quantification. However, standard posterior distributions are only meaningful when the model or likelihood is well-specified, which is not the case in the presence of outliers, adversarial contaminations, or faulty measurement instruments. This realisation has led to an increased focus on generalisations of Bayesian inference which aim at obtaining ‘generalised posterior distributions’ providing some representation of uncertainty but also overcoming some the lack of robustness of standard posteriors. The aim of this workshop will be to give a broad overview of this topic, touching on both foundational questions and algorithmic advances, and inviting the Bayesian Computation community to take a more active role in solving some of the remaining open challenges in this area.
François-Xavier Briol, University College London
Jack Jewson, Monash University
Dr Jeremias Knoblauch, University College London
This satellite workshop aims to bridge the gap between computational and theoretical advancements and modern applications in Bayesian methods for distributional and semiparametric regression by bringing together leading experts in the field. Participants will benefit from talks that cover key tasks, such as model formulation, variable selection, inference techniques and associated computational challenges and practical implications. By highlighting the latest developments, this workshop will provide an overview of current research advancements, fostering discussions that inspire collaboration and innovation in advanced Bayesian regression.
Prof. Dr. Nadja Klein, Scientific Computing Center, Karlsruhe Institute of Technology, Germany
Lucas Kock, Department of Statistics and Data Science, National University of Singapore, Singapore
Categories | Early bird registration (15 January - 15 March) |
Regular registration (16 March - 15 June) |
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Main Conference (16 - 20 June 2025) (Does not include access to Satellite Workshops) | |||
Non-Students | Member of ISBA | S$650 | S$710 |
Member of SBSS | S$790 | S$850 | |
Non-member of ISBA/SBSS | S$870 | S$930 | |
Students | Member of ISBA | S$410 | S$460 |
Member of SBSS | S$450 | S$500 | |
Non-member of ISBA/SBSS | S$480 | S$530 | |
Satellite Workshops (16 - 20 June 2025) (Does not include access to Main Conference) | |||
Non-Students | Member of ISBA | S$380 | S$460 |
Member of SBSS | S$440 | S$520 | |
Non-member of ISBA/SBSS | S$520 | S$600 | |
Students | Member of ISBA | S$170 | S$220 |
Member of SBSS | S$210 | S$260 | |
Non-member of ISBA/SBSS | S$250 | S$300 | |
Bayes Comp NUS Student Hostel Package (15 June - 21 June) (Limited rooms available) |
S$260 for Student Hostel Package (5 days, 4
nights) S$370 for Student Hostel Package (7 days, 6 nights) NUS University Town (UTown), Kent Ridge Campus Register by 31 March 2025 |
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Hotels (within 10km of NUS) Direct booking with the hotel. Refer to link. (Breakfast to be purchased at the front desk) |
S$145++ to S$195++ Per Night • Park Avenue Rochester • Citadines Science Park (Key in "BAYESCOMP25" under Promotion field to enjoy conference rates) |
A single-person living space furnished with a single bed, a ceiling fan, a writing desk and chair, a bookshelf, a wardrobe and a mobile pedestal. Shower and toilet facilities as well as kitchenettes (at selected levels) are located along the common corridors or within the apartments. Kitchenettes are equipped with stoves and other kitchen appliances where residents can cook their own meals instead of eating out.
Our budget-friendly accommodation option offers single occupancy rooms with shared bathroom facilities and come with single bed, one pillow, one blanket, one towel, a set of basic toiletries, a refillable water bottle and free wi-fi.
Park Avenue Rochester
(8 min to UTown)
Citadines Science Park
(9 min to UTown)
Coming soon
Coming soon