Upcoming schools

MLSS 2027 Okinawa is the next edition of MLSS 2024 Okinawa. It is open to all applicants, and we aim to select 200 highly motivated participants. Our main target audience is master's and Ph.D. students with a strong technical background in machine learning related areas. A small number of industry practitioners, professors, researchers, and outstanding undergraduate students may also be considered depending on space and availability. Industry applicants may be able to attend through sponsorship from their company. All participants are expected to have experience programming in Python, a strong interest in machine learning, and a basic understanding of linear algebra, calculus, probability, and statistics.

OIST is located in Onna Village, Okinawa, Japan, which is known as a beautiful resort area. The average temperature in Okinawa in March is around 16–21°C (61–70°F), and there are many beaches near OIST. One of the participants from MLSS 2024 made a YouTube video about the event (https://www.youtube.com/watch?v=ZvD8mQ8_UG4), so please take a look!

Venue: OIST Auditorium

We are pleased to announce that the Machine Learning Summer School 2026 will run for two weeks in June 2026 in New York City, at the Columbia University campus. We will host approximately 200 PhD students alongside key faculty, industry speakers, and invited practitioners to take part in a rigorous program that will balance practical training on state-of-the-art systems (evaluation, agentic AI, RAG, data pipelines) with forward-looking research areas (alignment/safety, interpretability, verification & reasoning).

Our objectives are to deliver a rigorous curriculum, an excellent experience for participants, and measurable impact on research. The program will combine lectures, tutorials, invited talks, and hands-on labs. In addition to reinforcement learning theory, LLM alignment/safety, RAG & agents, and time series analysis, the program will include systems and efficiency for LLMs, post-training and preference optimization, synthetic data practices, evaluation, mechanistic interpretability, and reasoning.

Venue: Columbia University Morningside Campus

The MLSS series started in 2002 out of the Australian National University in Canberra with the goal of bringing excellent ML speakers to Australia. While the summer school series flourished (47 events on 5 continents), the last event on Australian soil is more than 10 years ago. We are bringing MLSS back to Australia, specifically to Melbourne in early 2026.

We are inviting 50 exceptional PhD students and early-career researchers to learn from 15 world-class speakers in seminars, tutorials and talks. The topics range from foundational ML theory to state-of-the-art methods to novel ideas and approaches. MLSS will be hosted in a beautiful venue in Port Melbourne in the middle of Australian summer. Applications are open until August 31 - apply now on our website.

Venue: Sandridge Event Center, Port Melbourne, Australia