Statistical learning theory 2020 — различия между версиями
Материал из Wiki - Факультет компьютерных наук
Bbauwens (обсуждение | вклад) |
Bbauwens (обсуждение | вклад) |
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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.--> | 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/ . | Foundations of machine learning, Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalker, 2012. These books can be downloaded from http://gen.lib.rus.ec/ . | ||
Версия 18:24, 11 сентября 2020
General Information
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
Course materials
Date | Summary | Lecture notes | Problem list | Solutions |
---|---|---|---|---|
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 |
Office hours
Person | Monday | Tuesday | Wednesday | Thursday | Friday | |
---|---|---|---|---|---|---|
Bruno Bauwens | Room 620 |