Lectures
You can download the slides for all lectures here! Each lecture corresponds to a range of slides. Slides are frequently updated. Please let us know if you spot typos!
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Date: Jan 10
Room: 0I10 Amphi Hodgkin
Material: Lecture 1 - Kernels, RKHS, examples
Description: Introduction to kernels and related notions.
Slides: 1-77
Materials: [Video 1] [Video 2]
Additional Materials:
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Date: Jan 24
Room: 1Z14
Material: Lecture 2 - Smoothness functional, Kernel trick, Representer theorem
Description: Main tools for kernel methods
Slides: 78-114
Materials: [Video 1] [Video 2] [Video 3]
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Date: Jan 31
Room: 1Z14
Material: Lecture 3 - Kernel ridge and logistic regression
Description: Application of kernel methods to regression
Slides: 115-163
Materials: [Video 1]
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Date: Feb 07
Room: 0I10 Amphi Hodgkin
Material: Lecture 4 - Large-margin classifiers, SVMs
Description: Application of kernel methods to classification
Slides: 164-221
Materials: [Video 1] [Video 2]
Additional Materials:
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Date: Feb 14
Room: 1Z14
Material: Lecture 5 - Unsupervised learning, kernel PCA, K-means, CCA
Description: Kernel methods for unsupervised learning.
Slides: 222-279
Materials: [Video 1] [Video 2]
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Date: Feb 28
Room: 1Z14
Material: Lecture 6 - Kernels for graphs, kernels on graphs
Description: Some applications of kernel methods to graph structured data.
Slides: 530-674
Materials: [Video 1] [Video 2]
Additional Videos:
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Date: Mar 06
Room: 1Z14
Material: Lecture 7 - Green, Mercer, Herglotz, Bochner and friends
Description: Some kernel theory.
Slides: 280-416
Materials: [Video 1] [Video 2] [Video 3]
Additional Videos:
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Date: Mar 13
Room: 1Z14
Material: Lecture 8 - Kernel Mean Embeddings of probability distributions
Description: Representing probability distributions using kernels
Slides: 675-783
Materials: [Video 1] [Video 2]
Additional Videos:
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Date: Mar 20
Room: 0I10 Amphi Hodgkin
Material: Lecture 9 - Generalization of Kernel Ridge Regression
Description: Scaling up kernel methods to large problems
Slides: 811-966
Materials: [section 7.6 (in particular 7.6.4)]