Seminar on Nonparametric Statistics

Abstract

Our seminar consists two parts. In the first part, we cover selected topics in “Learning with Kernel”, including Loss functions, Regularization, Pattern Recognition, Implementation, Designing Kernels and Kernel Fisher Discriminant. In the second part, we report our research progress in topics of Nonparametric Statistics, including Tree methods, two sample tests on Hyperbolic Space and Change Point Detection.

Time and Location

Time: 7:00pm-9:00pm, Tuesday, 2022 Spring

Location: USTC Management Science Building 1008 and Online