Learning Theory Summer School and Workshop

22-25 June
Learning Theory Summer School

The Learning Theory Summer School is aimed at PhD students, masters students, early-career researchers, and industry professionals, who want to acquire a strong foundation in modern learning theory and responsible machine learning. Over four days, participants will study core themes, such as generalization, optimization for ML, online and reinforcement learning, and responsible ML topics including privacy and robustness.

The summer school is followed by a Learning Theory Workshop (26-27 June), which the participants are very welcome to join to interact with leading researchers and hear about cutting-edge research in learning theory. 

For further information see the event website https://ltsscopenhagen.github.io/

Registration deadline: 24 May 2026

26-27 June
Learning Theory Workshop

The workshop brings together the learning theory community for scientific exchange and discussion through invited talks, contributed talks, and posters.

For further information see the event website https://ltsscopenhagen.github.io/

Call for contributions deadline: 10 May 2026
Registration deadline: 24 May 2026