Kernel Methods for Change-Point Detection

Notes and Lectures by Arthur Gretton

Notes and Lectures by Lorenzo Rosasco

MLSS --- Arequipa

Concentration Inequalites in Learning with Kernels: https://www.youtube.com/watch?v=Dt5j45MxCpo

Concentration Inequalities in Machine Learning: https://www.youtube.com/watch?v=SnNj6cMeDq0

Concentration Inequalities and The Entropy Method: https://www.youtube.com/watch?v=JjGL2_Z-1w4

Bibliography

Harmonic Analysis on Semigroups: Theory of Positive Definite and Related Functions, by C. van den Berg and J. P. R. Christensen
A Course in Approximation Theory by W. Cheney and W. Light
Reproducing Kernel Spaces and Quadratic Inequalities by T. Ando
Learning with Kernels by B. Scholkopf and A. J. Smola
The Theory of Reproducing Kernels - 60 years since Aronszajn by S. Saitoh and Y. Sawano
Support Vector Machines by I. Steinwart and A. Christmann
http://www.math-evry.cnrs.fr/_media/members/mpierrejean/morgane_pierre-jean_sfds3013.pdf
https://www.di.ens.fr/~fbach/nips2008_kercha.pdf
http://faculty.washington.edu/zaid/index.html - Zaid Harchaoui
http://www.eecs.wsu.edu/~cook/pubs/kais16.2.pdf
Integral Transforms, Reproducing Kernels and Their Applications by Saburou Saito
Learning Theory: An Approximation Theory Viewpoint by Felipe Cucker , Ding Xuan Zhou
LeSong's Thesis http://www.cc.gatech.edu/~lsong/papers/lesong_thesis.pdf
Byron Boots's Thesis http://www.cc.gatech.edu/~bboots3/files/BootsThesis.pdf
- Kernel Measures of Independence for non-iid Data, 2009
  - Zhang, X., Song, L., Gretton, A., and Smola, A.
Kernel Mean Embedding of Distributions: A Review and Beyonds, https://arxiv.org/pdf/1605.09522.pdf
Introduction to Functional Analysis - Coursera Ecole Centrale https://www.youtube.com/playlist?list=PLSpInro6Ys2IHve6oN9h005zmwfLnOSp1