### Mathematics 547:

## Mathematical Foundations of Statistical Learning Theory (3.0 units)

Binary classification, empirical risk minimization, support vector machines, voting algorithms and AdaBoost, Vapnik-Chervonenkis combinatorics, concentration-of-measure inequalities, sparse recovery problems, high-dimensional convex geometry.

Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|

39752R | 001 | Lecture | 10:00-10:50am | MWF | 16 of 30 | Steven Heilman | KAP140 | PDF (989712 KB) |