37th International Conference on Algorithmic Learning Theory

The 37th International Conference on Algorithmic Learning Theory (ALT 2025) is one of the foremost academic venues dedicated to the mathematical and computational foundations of machine learning. The conference focuses on rigorous theoretical analysis of learning algorithms, covering topics such as PAC learning, online learning, statistical learning theory, sample complexity, boosting, and connections between computational complexity and learnability. These foundations are essential for understanding when and why learning algorithms succeed or fail.

ALT 2025 welcomes researchers from machine learning, theoretical computer science, statistics, and mathematics who are interested in principled approaches to learning. The conference is particularly valuable for PhD students and early-career researchers seeking deep engagement with the theoretical underpinnings of modern AI. By combining technical rigor with forward-looking discussion, ALT 2025 helps set the research agenda for the entire learning theory community.