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...
DayTimeVenueZoomPWWed09:50-11:25A3-1a-205518 868 7656BIMSAThu09:50-11:25A3-1a-205537 192 5549BIMSAPrerequisiteBasic knowledge of Quantum Mechanics, Quantum Field Theory and Statistical Mechanics is needed, as well as reasonable knowledge of lineal algebra and complex analysis.IntroductionThe aim of this course is to spell out the methods for the evaluation of the finite volume/temperature effec...
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