Function spaces and operator theory form a rich and interconnected subdiscipline of modern analysis, embracing a variety of spaces that measure function regularity and oscillatory behaviour alongside ...

Function-Space Regularization in Neural Networks: A Probabilistic Perspective; Tim G. J. Rudner, Sanyam Kapoor, Shikai Qiu, Andrew Gordon Wilson. ICML 2023. Abstract: Parameter-space regularization in ...

This course is available on the BSc in Business Mathematics and Statistics, BSc in Mathematics and Economics, BSc in Mathematics with Economics, BSc in Mathematics, Statistics, and Business and BSc in ...