MARS Annual Symposium 2026
Computational Mathematics and Probabilistic Machine Learning
The inaugural MARS Annual Symposium will take place from midday on Wednesday 9 September to midday on Friday 11 September 2026 at ¶¶ÒõAPPµ¼º½.
The symposium will bring together researchers working at the interface of mathematics, statistics, machine learning, and artificial intelligence.
The event will provide a forum for sharing recent advances, discussing open challenges, and building connections across communities developing the mathematical foundations of reliable, effective, and real-world AI.
Scope
The focus of this year’s symposium is computational mathematics and probabilistic machine learning, including topics from the following themes:
- Probabilistic Generative Modelling
- Bayesian Learning and Optimisation
- Sampling Algorithms and Monte Carlo Methods
- Optimisation and Training Dynamics for Machine Learning
The programme will include invited talks, contributed presentations, and opportunities for discussion and networking. There will be a conference dinner on the evening of Thursday 10 September.
We particularly welcome participation from researchers whose work connects mathematical methodology with modern machine learning and real-world applications.
Confirmed Speakers
- Dr Mauricio A Álvarez (University of Manchester)
- Professor Christophe Andrieu (University of Bristol)
- Dr Paris Giampouras (University of Warwick)
- Dr Avetik Karagulyan (École Polytechnique, France)
- Professor Anthony Lee (University of Bristol)
- Professor Benedict Leimkuhler (University of Edinburgh)
- Dr Samuel Livingstone (University College London)
- Professor Ruth Misener (Imperial College London)
- Dr Siddharth N. (University of Edinburgh)
- Dr Clarice Poon (University of Warwick)
- Professor Gareth Roberts (University of Warwick)
- Professor Chris Sherlock (¶¶ÒõAPPµ¼º½)
- Dr Tim Sullivan (University of Warwick)
.
Call for posters and spotlight talks
The call for posters and spotlight talks is now closed.
Registration
Registration for the symposium is now closed.
Location
The symposium will take place in the on the ¶¶ÒõAPPµ¼º½ campus. Please visit our maps and travel webpage for details about how to find ¶¶ÒõAPPµ¼º½.
Accommodation
In addition to ¶¶ÒõAPPµ¼º½ guest room accommodation, which can be booked via the symposium registration link, there are also other accommodation options within easy commuting distance of campus:
Code of Conduct
This symposium aims to foster open, rigorous and constructive academic exchange in an environment that supports respectful dialogue, intellectual curiosity and professional conduct. We ask that all participants adhere to the Code of Conduct.