STA 243 Computational Statistics (Spring 2023)
- Instructor: Krishnakumar Balasubramanian
- TA: Tesi Xiao
You are required to use an ucdavis email to access the colab files.
| Discussion Topics | Materials | |
|---|---|---|
| Week 1 | Basic Linear Algebra | Link |
| Homework and LaTeX | Link | |
| Week 2 | Introduction to Python Programming | Link Colab |
| Linear Algebra in Python | Link Colab | |
| Week 3 | Power Method and Sketching | Link |
| Week 4 | Lecture: Convex Optimization | |
| Sketching (Cont.) | ||
| Week 5 | Basics in Smooth Convex Optmization | Link |
| Week 6 | Lecture: Spectral Initialization Methods for Non-Convex Optimization | |
| Basics in Non-Smooth Convex Optmization | Link | |
| Week 7 | Python: Gradient Descent Methods for Quadratic Minimization Problem | Link |
| Week 8 | Non-Convex Optimization | Link |
| Week 9 | EM Algorithm | |
| Week 10 | Project Presentation |