Schedule
This schedule should be considered tentative and subject to change, at least until it actually takes place!
In addition to the course notes, I have posted some background notes. Some material in these notes is truly background that you will have seen in prior classes. Other material may be new to you, and some of it will be covered in class. You should feel free to ask questions about any of this!
| Week | Day | Date | Notes and readings | HW |
|---|---|---|---|---|
| 1 | Tue, | May 21 | Introduction and optimization basics | |
| Wed, | May 22 | Linear least squares and regularization | ||
| Thu, | May 23 | Regularizing least squares and gradient descent | ||
| Fri, | May 24 | Stochastic gradients, scaling, and Newton | ||
| 2 | Tue, | May 28 | Latent factor models | |
| Wed, | May 29 | SVD and other low rank decompositions | ||
| Thu, | May 30 | Non-negative matrix factorization | ||
| Fri, | May 31 | Matrix completion | ||
| 3 | Tue, | Jun 04 | Many interpretations of kernels | |
| Wed, | Jun 05 | Approaches to kernel selection | ||
| Thu, | Jun 06 | Computing with GPs | ||
| Fri, | Jun 07 | Dragon Boat Festival | ||
| 4 | Tue, | Jun 11 | Matrices associated with graphs | |
| Wed, | Jun 12 | Function approximation on graphs | ||
| Thu, | Jun 13 | Graph clustering and partitioning | ||
| Fri, | Jun 14 | Centrality measures |