Venue: The Alan Turing Institute British Library 96 Euston Road London, NW1 2DB [map and travel]
Dates: 10-12 February, 2016
- Alexandros Beskos (UCL)
- Dan Crisan (Imperial)
- Arnaud Doucet (Oxford)
- Zoubin Ghahramani (Cambridge)
- Simon Godsill (Cambridge)
- Sumeetpal Singh (Cambridge)
- Yee Whye Teh (Oxford)
- Sebastian Vollmer (Oxford)
- Konstantinos Zygalakis (Edinburgh)
Workshop Summary Description:
The workshop’s aim is to assemble experts, covering theory and practice, to address challenges of working with complex High-Dimensional statistical models & Big Data and designing effective Monte Carlo methods for model calibration in such contexts. We aim to bring together academic researchers from a number of different disciplines and other experts to discuss challenges and identify common research themes and applications.
The ATI universities are involved and workshop participants are drawn from Computer Science and Machine Learning, Engineering, the Mathematical Sciences and the Industry. Each is a highly specialised discipline that has developed disparate techniques to deal with large complex models. These diverse backgrounds will inform scoping through research presentations and round table discussions.