|SES #||TOPICS||KEY DATES|
Nonnegative Matrix Factorization
Discussion: When does well-posedness lead to better algorithms?
Discussion: When do algorithms rely (too much) on a distributional model?
|Problem Set 1 due on session 9|
Discussion: When does belief propagation (provably) work?
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|
Linear Inverse Problems
Discussion: Do we have enough average-case assumptions?
|Final Project due on session 26|