Statistical learning theory 2021 — различия между версиями
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Bbauwens (обсуждение | вклад) |
Bbauwens (обсуждение | вклад) |
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! Date !! Summary !! Lecture notes !! Problem list !! Solutions | ! Date !! Summary !! Lecture notes !! Problem list !! Solutions | ||
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− | | || Part 1. Online learning || || || | + | | |
+ | || Part 1. Online learning || || || | ||
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| 7 Sept | | 7 Sept | ||
|| Introduction, the online mistake bound model, weighted majority and perceptron algorithms | || Introduction, the online mistake bound model, weighted majority and perceptron algorithms |
Версия 11:16, 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 | |
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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.