The purpose of this seminar series is an introduction to the theory and application of RKHS in connection with machine learning.

The tentative outline of the (learning part of the) seminars is as follows.

  1. Ghojogh, B., Crowley, M., Karray, F., & Ghodsi, A. (2023). Elements of Dimensionality Reduction and Manifold Learning. Springer International Publishing.
  2. Manton, J. H., & Amblard, P.-O. (2015). A Primer on Reproducing Kernel Hilbert Spaces.
  3. Okutmuştur, B. (2020). A Survey on Hilbert Spaces and Reproducing Kernels. In K. Shah & B. Okutmuştur (Eds.), Functional Calculus. IntechOpen.