Statistical learning theory 2021 — различия между версиями
Материал из Wiki - Факультет компьютерных наук
Bbauwens (обсуждение | вклад) |
Bbauwens (обсуждение | вклад) |
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| − | ! Date !! Summary !! Lecture notes | + | ! Date !! Summary !! Lecture notes !! Problem list !! Solutions |
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| − | + | | || Part 1. Online learning || || || | |
| + | | 7 Sept | ||
| + | || Introduction, the online mistake bound model, weighted majority and perceptron algorithms | ||
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| + | || the standard optimal algorithm and prediction with expert advice | ||
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<!-- | 12 Sept || Introduction and sample complexity in the realizable setting | <!-- | 12 Sept || Introduction and sample complexity in the realizable setting | ||
|| [https://www.dropbox.com/s/kicoo9xf356eam5/01lect.pdf?dl=0 lecture1.pdf] | || [https://www.dropbox.com/s/kicoo9xf356eam5/01lect.pdf?dl=0 lecture1.pdf] | ||
Версия 11:15, 2 сентября 2021
General Information
Teachers: Bruno Bauwens and Nikita Lukianenko
Lectures: Tuesdays 9h30 - 10h50, zoom
Seminars: Tuesday 11h10 - 12h30
Practical information on telegram group
Course materials
| Date | Summary | Lecture notes | Problem list | Solutions | ||||
|---|---|---|---|---|---|---|---|---|
| Part 1. Online learning | 7 Sept | Introduction, the online mistake bound model, weighted majority and perceptron algorithms | ||||||
| the standard optimal algorithm and prediction with expert advice | ||||||||
The lectures in October and November are based on the book: Foundations of machine learning 2nd ed, Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalker, 2018. This book can be downloaded from http://gen.lib.rus.ec/ .
For online learning, we also study a few topics from lecture notes by Н. К. Животовский
Office hours
| Person | Monday | Tuesday | Wednesday | Thursday | Friday | |
|---|---|---|---|---|---|---|
| Bruno Bauwens, Zoom (email in advance) | 14h-18h | 16h15-20h | Room S834 Pokrovkaya 11 |
It is always good to send an email in advance. Questions are welcome.
