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.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
39752R001Lecture10:00-10:50amMWF16 of 30Steven HeilmanKAP140PDF (989712 KB)session dates
Information accurate as of October 10, 2019 1:02 pm.