Schedule
The seminars as well as events related to RKHS Seminars will be posted on this page; please visit the page occasionally.
Also, please keep in mind that upcoming talks might be postponed to some future time.
ALL SEMINARS WILL BE ONLINE!
However, in case the seminar is placed in a classroom, the speaker is likely to use the (black)board as well. This might sometimes be in convenient for online participants; we are sorry for this, in advance! If you plan to be present in class, registration for online participation is not necessary; however, it is advised for possible future correspondence (and reminders).
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Kernel Methods: applications, promises and open issues
Additional Resources:
- Presentation Slides - Recorded Video (Raw) - CodPy: a Python library for numerics, machine learning, and statistics -
Stochastic Processes and the RKHS
Additional Resources:
- Stochastic Processes (Notes) -
Fundamental Properties of Reproducing Kernels and RKHSs
Additional Resources:
- Fundamental Properties of RKHS (Slides) - Theory of Reproducing Kernels and Applications -
Vectors, Matrices, Maps and the finite-dimensional RKHSs - Part III
Additional Resources:
- Orthogonal Projections (Slides) - Basics of RKHS (Slides) - Finite Dimensional RKHSs (Slides) -
A Brief Introduction to Hilbert Space Theory with RKHS in Mind - Part II
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A Brief Introduction to Hilbert Space Theory with RKHS in Mind
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Vectors, Matrices, Maps and the finite-dimensional RKHSs - Part II
Additional Resources:
- Orthogonal Projections (Slides) - Basics of RKHS (Slides) - Finite Dimensional RKHSs (Slides) -
Vectors, Matrices, Maps and the finite-dimensional RKHSs
Additional Resources:
- Orthogonal Projections (Slides) - Basics of RKHS (Slides) - Finite Dimensional RKHSs (Slides) -
Kernels and RKHS