Statistical learning theory 2020: различия между версиями

Версия от 15:24, 11 сентября 2020

Lectures: Saturday 9h30 - 10h50, zoom https://zoom.us/j/96210489901

Teachers: Bruno Bauwens and Vladimir Podolskii

Seminar for group 1: Saturday 11h10 - 12h30, Bruno Bauwens and Vladimir Podolskii zoom https://zoom.us/j/94186131884,

Seminar for group 2: Tuesday ??, Nikita Lukyanenko

Date	Summary	Lecture notes	Problem list
12 Sept	Introduction and sample complexity in the realizable setting	lecture1.pdf	Problem list 1
19 Sept	VC-dimension and sample complexity
26 Sept	Risk bounds and the fundamental theorem of statistical learning theory
03 Nov	Rademacher complexity and margin assumption

@@ Строка 27: / Строка 27: @@
-<-- A gentle introduction to the materials of the first 3 lectures and an overview of probability theory, can be found in chapters 1-6 and 11-12 of the following book:
+<!-- A gentle introduction to the materials of the first 3 lectures and an overview of probability theory, can be found in chapters 1-6 and 11-12 of the following book:
 Sanjeev Kulkarni and Gilbert Harman: An Elementary Introduction to Statistical Learning Theory, 2012.-->
-<-- Afterward, we hope to cover chapters 1-8 from the book:
+<!-- Afterward, we hope to cover chapters 1-8 from the book:
 Foundations of machine learning, Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalker, 2012. These books can be downloaded from http://gen.lib.rus.ec/ .