Programme

The MLSS 2026 programme is an intensive two-week summer school bringing together speakers from academia, industry research labs, and startups, covering a broad range of topics from foundational principles to state-of-the-art machine learning methods and applications.

The programme includes

• Lectures and tutorials on core machine learning methods
• Research talks on recent advances and emerging directions
• Panel discussions spanning academia, industry, and startups
• Practical sessions and hands-on tutorials in smaller groups
• Poster sessions for participant presentations
• Informal discussions and networking opportunities

Topic areas include

• Deep learning and representation learning
• Foundation models and generative AI
• Computer vision
• Probabilistic modelling and Bayesian methods
• Causal inference
• Optimization
• Learning theory
• Machine learning for science
• Trustworthy ML, including fairness, privacy, and interpretability

As the 50th edition of MLSS, the programme continues a long-standing tradition of educating and mentoring early-career researchers, helping them develop into the next generation of experts shaping the future of machine learning.