Data-Adaptive RKHS Regularization for Learning Kernels in Operators

Data-Adaptive RKHS Regularization for Learning Kernels in Operators

Explore a 29-minute conference talk from the Fourth Symposium on Machine Learning and Dynamical Systems, presented by Fei Lu from Johns Hopkins University. Delve into the concept of data-adaptive RKHS regularization and its application in learning kernels in operators. Gain insights into this advanced topic in machine learning and dynamical systems, as discussed at the Fields Institute on July 12, 2024.