MLSS Melbourne 2026

The machine learning summer school (MLSS) series was started in 2002 in the Australian capital of Canberra to teach and promote modern methods of statistical machine learning. The series took off immediately and spread to 10 countries on 4 continents, even before the publication of AlexNet in 2012. The speakers in the early years included Bernhard Schölkopf, Vladimir Vapnik, Carl Rasmussen, Yann LeCun, Geoffrey Hinton, Richard Sutton and many more.

Then the deep learning revolution started, GPUs were utilized, transformers invented and AI entered the public conscience. In the meantime, MLSS hosted 47 events in 19 countries on every continent except Antarctica. However, the last summer school on Australian soil took place more than 10 years ago.

It's time to bring MLSS back to its origins. We're excited to invite you to MLSS 2026 in Melbourne, Australia. From February 2 to 13, we're bringing together excellent PhD students, early career researchers and renowned Australian and international speakers. With topics from fundamental ML theory to state-of-the-art techniques and a focus on what could lie beyond LLMs, we're looking forward to world-class lectures, tutorials and coffee in Australia's cultural capital.