The 40th Annual Conference on Learning Theory (COLT 2027)

Topics include the design and analysis of learning algorithms, statistical and computational complexity of learning, online and stochastic optimisation, theory of neural networks and deep learning, explanations of empirical phenomena, reinforcement learning, online decision-making, high-dimensional and non-parametric statistics, kernel methods, causality, sampling, Bayesian methods, learning and game theory, privacy and fairness constraints, and quantum learning theory. Accepted papers appear in the Proceedings of Machine Learning Research, and at least one author of each accepted paper must present in person.