| SES # | TOPICS | KEY DATES |
|---|---|---|
| 1 | Introduction | |
| 2–5 |
Nonnegative Matrix Factorization Discussion: When does well-posedness lead to better algorithms? | |
| 6–12 |
Tensor Decompositions Discussion: When do algorithms rely (too much) on a distributional model? | Problem Set 1 due on session 9 |
| 13–17 |
Sparse Coding Discussion: When does belief propagation (provably) work? | |
| 18–22 |
Learning Mixture Models Discussion: Is nature an adversary? And if not, how can we model and exploit that? | Problem Set 2 due on session 20 |
| 23–26 |
Linear Inverse Problems Discussion: Do we have enough average-case assumptions? | Final Project due on session 26 |