MLSS 2027 Okinawa is a 12-day machine learning school held 1–12 March 2027 at the Okinawa Institute of Science and Technology (OIST) in Onna, Japan, co-organized with the Institute of Statistical Mathematics and RIKEN AIP.
It follows MLSS 2024 Okinawa and aims to select about 200 participants for lectures by researchers including Shai Ben-David, Danqi Chen, Marco Cuturi and Arthur Gretton, plus poster presentations.
Benefits & funding
- Lectures spanning learning theory, language models, optimal transport, diffusion models, kernel methods and more.
- Registration fee after acceptance (current estimates, may shift slightly): students ¥60,000; academics ¥120,000; professionals ¥170,000.
- A limited number of accepted participants get in-kind accommodation (OIST housing or a shared hotel room), not cash.
- Travel to Okinawa is at your own cost.
Eligibility
- Open to applicants of any nationality.
- Main audience: master’s and PhD students with a strong technical background in machine learning.
- Limited places for postdocs, staff scientists, faculty, industry practitioners (possibly company-sponsored) and outstanding undergraduates.
- Expected: Python programming, interest in machine learning, and basic linear algebra, calculus, probability and statistics.
- Every accepted participant must present a poster in person.
Can you apply?
Here's who can apply
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Education required
Bachelor Enrolled · Master Enrolled · PhD Enrolled · PhD
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Application process
- 1Apply on OpenReview with a poster abstract, a motivation statement and a CV; an accommodation request is optional.
- 2Student applicants need one letter of recommendation.
- 3Official deadline 30 September 2026; the site stayed open to 10 October 2026, with later applications considered only subject to availability.
- 4No application fee; accepted participants pay the registration fee by 30 November 2026.
Program timeline
Official application deadline (priority)
30 September 2026
CV and references due; OpenReview closes
10 October 2026
Acceptance notices
1 November 2026
Registration fee due
30 November 2026
School at OIST
1–12 March 2027