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
39752R001Lecture1:00-1:50pmMWF12 of 30Stanislav MinskerGFS109PDF (140731 KB)session dates
Information accurate as of January 19, 2024 5:02 pm.