All participants of the MLSS 2020 are subject to rigorous screening. The selection process is competitive and will be based on the submitted documents. The requested documents include but not limited to the following items:
- Your curriculum vitae (CV)
- Title and abstract of the poster to be presented at MLSS 2020 (see below)
- For student applicants, we require support from your supervisor. We will provide a separate form for your supervisor to fill out.
We will open the application portal in mid-late December. Application period has started. There is no fee for applying to MLSS 2020. But, there is a registration fee if you are selected and decide to attend.
The application deadline is 11 February 2020. However we may close the application form when the number of applications reaches 1500. For full consideration, please apply as soon as you can. If you are a student, we also require that your supervisor complete a recommendation form by 18 February 2020. Your supervisor will automatically receive a link to the form after you fill out the application form.
You do not need to complete the application form in one go. The form allows you to save your partial responses that can be loaded back later. To do this, simply select "Resume later" at the top right corner of the form, and give "Name" and "Password". To load your responses, go to the form and select "Load unfinished survey" at the top right corner, and enter the name and password. Please do not just leave your application form unfinished without saving it in this way. If you know that you will have to spend a lot of time on some questions (especially ones that require long answers), please save your partial responses first.
Warning: You may get a time-out error if you are inactive for too long. So save your responses to avoid losing your data. For your application to be considered, it is important that you click "Submit" on the last page of the application form.
Everyone is welcome to apply to MLSS 2020. We aim to select 150 strongly motivated participants. Our primary target audience is early-mid stage PhD students with good technical background whose research topics are related to machine learning. Small numbers of industry practitioners, researchers, professors, exceptional master's students, and exceptional bachelor's students will also be considered, subject to space and availability. Industrial applicants can also obtain tickets via industry sponsorship.
All participants are expected to be familiar with programming in Python, be enthusiastic about machine learning, be familiar with linear algebra, basic calculus, and basic probability and statistics. To get a sense of the level of technicality of the lectures, check the recorded video lectures from MLSS 2017 here.
A limited number of stipends will be available to students in need of financial support, especially students from developing countries. The travel support will cover transportation costs (including air tickets) and in some cases accommodation. Please indicate on the application form if you would like to be considered for this, and enter the estimated amount of money for the transportation in euros. You should use the comments box to add additional details about your circumstances.
The following registration fees only apply if you are selected and decide to attend. There is no fee for applying.
- For students (including PhD students): 280 EUR
- For other academics (professors, researchers in academic institutes, postdocs): 520 EUR
- For professionals (industry practitioners): 800 EUR
- Access to all lectures (in English) and practical sessions
- Social events (banquet, outdoor events on the weekend, guided tour)
- Events/sessions organized by our valued sponsors
- Two coffee breaks per day
- Lunch and dinner each day
- Poster presentation by participants.
Posters are a long-standing tradition at the MLSS. Each applicant is asked to bring along a poster covering some of their own work. This does not need to be published work (ongoing work, or work resulting from undergraduate projects is also fine). While the day program covers broad areas of general interest, the poster sessions offer participants a chance to discuss their own work with their peers. The poster presentations will be a relaxed affair. Posters will be distributed across a room, with participants presenting to small groups of two or three standing in front of their posters.