Each lecture summary below provides a brief description of the topics covered, as well as a list of suggested readings for more in-depth exploration. The slide presentations from many of the lectures are also included.
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| LEC # | | | | TOPICS | |
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| | | | 1 | | | | The Course at a Glance
Summary (PDF) | | | | | | | | | 2 | | | | The Learning Problem in Perspective
Summary (PDF)
Slides (PDF) | | | | | | | | | 3 | | | | Regularization and Reproducing Kernel Hilbert Spaces
Summary (PDF)
Slides (PDF) | | | | | | | | | 4 | | | | Regression and Least-Squares Classification
Summary (PDF)
Slides (PDF) | | | | | | | | | 5 | | | | Support Vector Machines for Classification
Summary (PDF)
Slides (PDF) | | | | | | | | | 6 | | | | Generalization Bounds, Introduction to Stability
Summary (PDF)
Slides (PDF) | | | | | | | | | 7 | | | | Stability of Tikhonov Regularization
Summary (PDF)
Slides (PDF) | | | | | | | | | 8 | | | | Consistency and Uniform Convergence Over Function Classes
Summary (PDF)
Slides (PDF) | | | | | | | | | 9 | | | | Necessary and Sufficient Conditions for Uniform Convergence
Summary (PDF)
Slides (PDF) | | | | | | | | | 10 | | | | Bagging and Boosting
Summary (PDF)
Slides (PDF) | | | | | | | | | 11 | | | | Computer Vision, Object Detection
Summary (PDF) | | | | | | | | | 12 | | | | Loose Ends | | | | | | | | | 13 | | | | Approximation Theory
Summary (PDF)
Slides (PDF) | | | | | | | | | 14 | | | | RKHS, Mercer Thm, Unbounded Domains, Frames and Wavelets
Summary (PDF)
Slides (PDF) | | | | | | | | | 15 | | | | Bioinformatics
Summary (PDF) | | | | | | | | | 16 | | | | Text
Summary (PDF)
Slides (PDF) | | | | | | | | | 17 | | | | Regularization Networks
Summary (PDF)
Slides (PDF) | | | | | | | | | 18 | | | | Morphable Models for Video
Summary (PDF) | | | | | | | | | 19 | | | | Leave-one-out Approximations
Summary (PDF)
Slides (PDF) | | | | | | | | | 20 | | | | Bayesian Interpretations
Summary (PDF)
Slides (PDF) | | | | | | | | | 21 | | | | Multiclass Classification
Summary (PDF)
Slides (PDF) | | | | | | | | | 22 | | | | Stablity and Glivenko-Cantelli Classes | | | | | | | | | 23 | | | | Symmetrization, Rademacher Averages | | | | | | | | | Math Camp | | | | Math Camp 1: Functional Analysis
Summary (PDF)
Slides (PDF) | | | | | | | | | Math Camp | | | | Math Camp 2: Lagrange Multipliers/Convex Optimization
Summary (PDF) | | | | | | | | | Extra Topic | | | | SVM Rules of Thumb
Summary (PDF) | | | | |
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