All materials are courtesy of the person named and are used with permission.
SES # | TOPICS | SUMMARY | SLIDES |
---|---|---|---|
1 | The Course at a Glance | (PDF) | (PDF - 8.10 MB) |
2 | The Learning Problem in Perspective | (PDF) | (PDF) |
3 | Reproducing Kernel Hilbert Spaces | (PDF) | (PDF) |
4 | Regression and Least-Squares Classification | (PDF) | (PDF) |
5 | Support Vector Machines for Classification | (PDF) | (PDF) |
6 | Manifold Regularization | (PDF) | (PDF) |
7 | Unsupervised Learning Techniques | (PDF) | (PDF) |
8 | Multiclass | (PDF) | (PDF) |
9 | Ranking | (PDF) | (PDF) |
10 | Boosting and Bagging | (PDF) | (PDF) |
11 |
Computer Vision Object Detection |
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12 | Online Learning | (PDF) | (PDF) |
13 |
Loose Ends Project Discussions |
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14 |
Generalization Bounds Introduction to Stability |
(PDF) | (PDF) |
15 | Stability of Tikhonov Regularization | (PDF) | (PDF) |
16 | Uniform Convergence Over Function Classes | (PDF) | (PDF) |
17 |
Uniform Convergence for Classification VC-dimension |
(PDF) | (PDF) |
18 | Neuroscience | (PDF) | (PDF - 2.5 MB) |
19 |
Symmetrization Rademacher Averages |
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20 | Fenchel Duality | ||
21 | Speech / Audio | ||
22 | Active Learning | (PDF) | |
23 | Morphable Models for Video | ||
24 | Bioinformatics | ||
25 | Project Presentations | ||
26 | Project Presentations (cont.) | ||
Math Camp 1: Functional Analysis | (PDF) | ||
Math Camp 2: Probability Theory | (PDF) |