EPSRC StatML and Bocconi Spring School
on Computational Optimal Transport and Statistical Learning with Missing Values
Monday 7th April to Friday 11th April, 2025
with Julie Josse, on Learning with Missing Values and Gabriel Peyré, on Computational Optimal transport
We are happy to announce that StatML and Bocconi University are joining forces once again in 2024-25 to deliver the Spring School on Computational Optimal Transport and Statistical Learning with Missing Values.
The programme will take place at Cumberland Lodge, Windsor, from Monday April 7th to Friday April 11th 2025.
Applying to the Spring School
The StatML and Bocconi Spring School welcomes applications from external students. To be eligible, you must either: 1) Be an active postgraduate student (masters or DPhil/PhD), or 2) a Postdoctoral researcher.
To apply to the Spring School, you will need to fill this form (click here). In addition to this form, you will need to submit a 1) personal statement (max 500 words), 2) your most recent transcript and 3) your resume (CV), to Frédérique Godin at statmlcdt@stats.ox.ac.uk. Please note that you do not need to submit your transcript if you are a PhD/DPhil or a Postdoctoral researcher.
Your application and supporting documents must be submitted by Friday 31st January 2025, midday UK time. In case of questions, please reach out to Frédérique Godin at statmlcdt@stats.ox.ac.uk.
Once submitted, your application will be assessed by our steering committee. Please see the timeline below:
Registration is now open
Registration closes : 31/01/2025
Response sent back on applications: around 10/02/2025
Deadline for payment : 28/02/2025