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
39752R001Lecture10:00-10:50amMWF15 of 30Steven HeilmanKAP140PDF (88504 KB)session dates
Information accurate as of March 9, 2020 7:44 am.
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