MATH 547 Mathematical Foundations of Statistical Learning Theory

Units: 3
Terms Offered: Fa

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.
Prerequisite: MATH 407 or MATH 408
Instruction Mode: Lecture
Grading Option: Letter