Statistical learning theory 2020 — различия между версиями
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| 17 Oct || Support vector machines, kernels and neural networks | | 17 Oct || Support vector machines, kernels and neural networks | ||
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+ | | 31 Oct || Online learning 1 | ||
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+ | | 07 Nov || Online learning 2 | ||
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+ | | 14 Nov Oct || Active learning | ||
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+ | | 21 Nov Oct || Unsupervised learning | ||
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+ | | 28 Nov Oct || ... | ||
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The lectures in October are based on the book: | The lectures in October are based on the book: | ||
− | Foundations of machine learning, Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalker, | + | Foundations of machine learning 2nd ed, Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalker, 2018. These books can be downloaded from http://gen.lib.rus.ec/ . |
+ | In November, we follow the [http://machinelearning.ru/wiki/index.php?title=%D0%A2%D0%B5%D0%BE%D1%80%D0%B8%D1%8F_%D1%81%D1%82%D0%B0%D1%82%D0%B8%D1%81%D1%82%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%BE%D0%B3%D0%BE_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D1%8F_(%D0%BA%D1%83%D1%80%D1%81_%D0%BB%D0%B5%D0%BA%D1%86%D0%B8%D0%B9%2C_%D0%9D._%D0%9A._%D0%96%D0%B8%D0%B2%D0%BE%D1%82%D0%BE%D0%B2%D1%81%D0%BA%D0%B8%D0%B9) lecture notes] by Н. К. Животовский | ||
== Office hours == | == Office hours == |
Версия 17:31, 2 октября 2020
General Information
Teachers: Bruno Bauwens and Vladimir Podolskii
Lectures: Saturday 9h30 - 10h50, zoom https://zoom.us/j/96210489901
Seminars
- Group 1: Saturday 11h10 - 12h30, Bruno Bauwens and Vladimir Podolskii zoom https://zoom.us/j/94186131884,
- Group 2: Tuesday 18h, Nikita Lukyanenko, see ruz.hse.ru
Practical information on telegram group
Homeworks: deadlines every 2 weeks, before the lecture.
- Sat 3 Oct: see problem lists 1 (updated) and 2
- Sat 17 Oct: see problem lists 3 and 4
- etc.
Email homeworks to Brbauwens <at> gmail.com. Start the subject line with SLT-HW. You may submit handwritten solutions.
Course materials
Date | Summary | Lecture notes | Slides | Video | Problem list | Solutions | |||||||
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12 Sept | Introduction and sample complexity in the realizable setting | lecture1.pdf | slides1.pdf | Problem list 1 Update 26.09, prob 1.7 | Solutions 1 | ||||||||
19 Sept | VC-dimension and sample complexity | lecture2.pdf | slides2.pdf | Chapt 2,3 | Problem list 2 | Solutions 2 | |||||||
26 Sept | Risk bounds and the fundamental theorem of statistical learning theory | lecture3.pdf | slides3.pdf | Problem list 3 | Solutions 3 | ||||||||
03 Oct | Rademacher complexity | lecture4.pdf | |||||||||||
10 Oct | AdaBoost and the margin assumption | ||||||||||||
17 Oct | Support vector machines, kernels and neural networks | ||||||||||||
17 Oct | Support vector machines, kernels and neural networks | ||||||||||||
31 Oct | Online learning 1 | ||||||||||||
07 Nov | Online learning 2 | ||||||||||||
14 Nov Oct | Active learning | ||||||||||||
21 Nov Oct | Unsupervised learning | 28 Nov Oct | ... |
The lectures in October are based on the book: Foundations of machine learning 2nd ed, Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalker, 2018. These books can be downloaded from http://gen.lib.rus.ec/ .
In November, we follow the lecture notes by Н. К. Животовский
Office hours
Person | Monday | Tuesday | Wednesday | Thursday | Friday | |
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Bruno Bauwens | 14h-18h | 16h15-20h | Room S834 Pokrovkaya 11 |
It is always good to send an email in advance. Questions are welcome.