### 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 | 1:00-1:50pm | MWF | 14 of 30 | Stanislav Minsker | CPA210 | PDF (140955 KB) |