Description:High-dimensional statistical learning has become an increasingly important research area. In this course, we will provide theoretical foundations of high-dimensional learning for several widely studied problems with many applications. More specifically, we will review concentration inequalities, VC dimension, metric entropy and statistical implications, consider high-dimensional lin...
Date2025-04-14 ~ 2025-06-04SchedulePasswordWeekdayTimeVenueOnlineIDMon,Wed13:30-15:05A3-2-201Zoom293 812 9202BIMSAPrerequisiteBasic knowledge of quantum mechanics and classical electrodynamics.IntroductionThis is a course on Introduction to quantum field theory, normally taught as a first semester of quantum field theory for physics graduate students. The first part of this course can be seen a...