SuSTaIn EdgeCutter One Day Workshop on
High-dimensional Statistics, Inverse Problems and Convex Analysis
Royal Statistical Society, London, UK
22nd March 2016
This workshop will bring together scientists from the statistics,
applied mathematics, signal processing and machine learning communities
around the topic of convex analysis and its application to challenging
The workshop will feature invited talks by world-leading experts presenting
cutting edge research on new theory, methodology, and computer algorithms.
We aim to provide a valuable opportunity to network and to foster extensive
future interaction between the these disciplines.
This workshop is organised by
Marcelo Pereyra and
- Simon Arridge, UCL, UK
- Volkan Cevher, EPFL, Switzerland
- Mario Figueiredo, University of Lisbon, Portugal
- Gabriel Peyré, University of Paris-Dauphine, France
- Carola-Bibiane Schönlieb University of Cambridge, UK
- Martin Wainwright, University of California, Berkeley, USA
- Yi Yu,
Universities of Bristol and Cambridge, UK
Participants are encouraged to bring posters and should indicate
on the registration form that they will be bringing a poster.
Participants that do not indicate in advance that they will
be bringing a poster will only be permitted to display it
if there is space.
The registration fee for the workshop is £35.
The registration fee includes access to the workshop, refreshments
including a buffet lunch.
The workshop is subsidized by the
If you would like to attend the workshop please register using
Financial and Childcare Assistance
Limited financial assistance will be available to graduate students
and early career researchers. This will be available on a
first-come first-served basis and can cover travel and
subsistence (but not registration). Please email the organizers
to check availability. Some funds will also be reserved for partial
assistance with childcare costs. More details will be announced
in due course.
The workshop will be held at the headquarters of the
Royal Statistical Society
The location of the Royal Statistical Society and instructions on
how to get there can be found
Enquiries may be made by sending an email to