Schedule
This schedule should be considered tentative and subject to change, at least until it actually takes place!
| Week | Day | Date | Notes and readings | HW |
|---|---|---|---|---|
| Thu, | Jan 25 | Introduction | ||
| 2 | Tue, | Jan 30 | Regression | |
| Thu, | Feb 01 | Regression | ||
| 3 | Tue, | Feb 06 | Regression | |
| Thu, | Feb 08 | Regression | ||
| 4 | Tue, | Feb 13 | Matrix/tensor factorization | |
| Thu, | Feb 15 | Matrix/tensor factorization | ||
| 5 | Tue, | Feb 20 | February break | |
| Thu, | Feb 22 | Matrix/tensor factorization | ||
| 6 | Tue, | Feb 27 | Matrix/tensor factorization | |
| Thu, | Mar 01 | Low-dim structure in function approx | ||
| 7 | Tue, | Mar 06 | Low-dim struction in function approx | |
| Thu, | Mar 08 | Low-dim structure in function approx | ||
| 8 | Tue, | Mar 13 | Guest lecture | |
| Thu, | Mar 15 | Low-dim structure in function approx | ||
| 9 | Tue, | Mar 20 | GPs, kernel regression, spatio-temporal data | |
| Thu, | Mar 22 | GPs, kernel regression, spatio-temporal data | ||
| 10 | Tue, | Mar 27 | GPs, kernel regression, spatio-temporal data | |
| Thu, | Mar 29 | GPs, kernel regression, spatio-temporal data | ||
| 11 | Tue, | Apr 03 | Spring break | |
| Thu, | Apr 05 | Spring break | ||
| 12 | Tue, | Apr 10 | Numerical methods for graph data | |
| Thu, | Apr 12 | Numerical methods for graph data | ||
| 13 | Tue, | Apr 17 | Numerical methods for graph data | |
| Thu, | Apr 19 | Numerical methods for graph data | ||
| 14 | Tue, | Apr 24 | Learning models of dynamics | |
| Wed, | Apr 26 | Learning models of dynamics | ||
| 15 | Tue, | May 01 | Learning models of dynamics | |
| Thu, | May 03 | |||
| 16 | Tue, | May 08 |