Lecture 1: Introduction

[@Ewerlopes]

Starts at 11:36

[@professorgeoff]

The topics are described at the link above (KZbin won't allow links in comments, so I can't repeat it here). Online optimization in the sense of no-regret isn't really covered, although we definitely talk about some online algorithms like generalized gradient descent. For the other topic, fast algorithms are definitely a big part of the course.

[@JAmos125]

This is seriously an amazing help. Thank you so much for making these available.

[@professorgeoff]

Thanks, glad you like them!

[@BrokenRecord-i7q]

Professor you were a true visionary ❤️

[@bcsf05a035]

Hello. Are concepts related to online optimization covered in this course? What about optimizing in limited time i.e. when the optimization algorithm has a limited (or even shorter than the time need to find an optimal solution)? Thanks in advance.

[@ziyunli2436]

where can find all the slices?

[@temuddschin]

Hi, if I am specifically interested in dual averaging, which lectures should I watch ? For sure the first 7 lectures, but else ?