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.

Schedule

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:

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

Organizers

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

Prob_AI Hub

• Paul Fearnhead
• Dan Dodd

STOR-i CDT

• Tamás P. Papp
• Thomas Newman
• Rui-Yang Zhang

Location

Lancaster University Management School (LUMS), Bailrigg, Lancaster, LA1 4YX

• Lecture Theatre 1 — 23, 24 and 26 September.
• Lecture Theatre 17 — 25 September.

Directions can be found below:


The LUMS building layout can be found below:

Accommodation

Accommodation is available on the Lancaster University campus:

• Lancaster House Hotel.
• Lancaster University Guest Bedrooms.

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

Queries

For any queries relating to the workshop please contact probaihub@lancaster.ac.uk