BayesAI is a workshop on probabilistic and Bayesian aspects of artificial intelligence to be held at Lancaster University from midday Monday, 23 September to midday Thursday, 26 September.

The workshop seeks to catalyse research at the interface of Bayesian statistics and artificial intelligence. Themes include:
  • Generative modeling.
  • Physics-informed machine learning models.
  • Monte Carlo methods in machine learning.
  • Applications of the above.
Call for submissions: We invite participants to submit posters for the evening session on Monday, 23 September. See the registration form for more details.


Planned events include:
  • Invited talks in morning and afternoon sessions.
  • A poster session on Monday, 23 September.
  • A workshop dinner on Wednesday, 25 September.
A detailed programme will be released closer to the date.

Confirmed speakers:
  • Photo Icon Theo Damoulas (Warwick)
  • Photo Icon Daniela De Angelis (Cambridge)
  • Photo Icon Vincent Dutordoir (DeepMind)
  • Photo Icon Arthur Gretton (UCL)
  • Photo Icon José Miguel Hernández-Lobato (Cambridge)
  • Photo Icon Sidharth Jaggi (Bristol)
  • Photo Icon Katerina Karoni (Edinburgh)
  • Photo Icon Samuel Kaski (Manchester)
  • Photo Icon Jonas Latz (Manchester)
  • Photo Icon Henry Moss (Cambridge)
  • Photo Icon Patricia Murrieta-Flores (Lancaster)
  • Photo Icon Hao Ni (UCL)
  • Photo Icon Nikolas Nüsken (KCL)
  • Photo Icon Chris Oates (Newcastle)
  • Photo Icon Angus Phillips (Oxford)
  • Photo Icon Ciara Pike-Burke (Imperial)
  • Photo Icon Sam Power (Bristol)
  • Photo Icon Omar Rivasplata (Manchester)
  • Photo Icon Theresa Smith (Bath)
  • Photo Icon Kate Smith-Miles (Melbourne)
  • Photo Icon Jared Tanner (Oxford)
  • Photo Icon Mark van der Wilk (Oxford)


Register for the workshop here.

Participation is subsidized for members of Lancaster University and Prob_AI.

The registration fee for other participants can be found below. Lunch and refreshments will be provided.

Registration £82.5
Workshop dinner (Wednesday 25 September) £35


BayesAI is supported and co-organized by the Prob_AI Hub and the STOR-i CDT.

Prob_AI Hub
  • Photo Icon Paul Fearnhead
  • Photo Icon Dan Dodd
  • Photo Icon Tamás P. Papp
  • Photo Icon Thomas Newman
  • Photo Icon Rui-Yang Zhang


Lancaster University Management School (LUMS), Bailrigg, Lancaster, LA1 4YX Directions can be found below:

The LUMS building layout can be found below:


Accommodation is available on the Lancaster University campus: Accommodation is also available around Lancaster city centre, a 20-minute bus ride away from campus.


For any queries relating to the workshop please contact