Optimization for Machine Learning

The course evaluation is now available under 'materials'. Thanks to all that provided feedback that will help to improve the course next year.

I further uploaded the exam, solutions, and a grade scale.

I adjusted the scale to account for the questions that have not been solved by anybody.

The re-exam will be on October 4, 13.15 - 15.45 in GHH.

The exam will take place on

August 4, 9.30h - 12h, Günter-Hotz-Hörsaal (GHH) 

• please arrive at 9.20h, so that we can start on time
• closed book exam, no electronic devices allowed
• you can bring one sheet of A4 paper with your own notes (handwritten, or latex, font >= 10pt)

 

Q&A Session:

• I offer an additional Q&A session on Monday, July 25, 14-15h (Q&A zoom link posted under materials)

 

Exam registration:

• please do not forget to register for the exam latest a week before the exam
• students that can register on LSF must register there (the link on cms will re-direct you there), for other students registration on cms is enabled
• (still a few project re-submissions are pending, due date: today)

Several news regarding the lecture:

1) due to low demand, the morning (11-11.30) Q&A sessions are cancelled for the remaining weeks. I will offer alternative Q&A slots closer to the exam.

2) the exam format will be written. I will give more information on the exam format and structure in one of the last two lectures.

3) groups that failed the project will be notified by July 5 (other groups receive feedback later) and have the possibility to resubmit by July 23 (see project description). I will also ask groups that did not use the correct template or went over the page limit to resubmit a correctly formatted version by this date.

4) course evaluation: I posted the link to the course evaluation form under 'course materials'. Please fill out this form until July 14 (you will be given some time for this during tomorrows lecture).

 

Dear all,

There will be a few optimization related talks @ CISPA in the coming weeks: talk announcements. Feel free to drop by & ask questions to the speakers.

This Thursday, Kshitij Patel (TTIC) will talk about the Communication Complexity in Distributed Non-Convex Optimization, in two weeks, Grigory Malinovsky (KAUST) about communication in Federated Learning and Anastasia Koloskova (EPFL) on Asynchronous SGD.

https://docs.google.com/document/d/e/2PACX-1vQ2CpCAD1egpT3iYAI4eefQlAIx3yW0yBT6mI-PjPwvvuzaUr9csUrbZnho76pO98ZLei4Z5rfg0LKd/pub

 

 

Poll Results: The most preferred slots were just before the lecture and in the morning. So let's try with these slots for the next weeks (starting May 9). We can adjust based on demand and participation.

11.00-11.30h

13.30-13.55h

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Last lecture I was informed that the proposed slot for the Q&A session is in conflict with the ML course.

I created a quick poll to find an alternative slot. Please participate if you intend to attend the sessions regularly.

For next Monday, let's try with 11h-12h (on zoom only, as I did not book a room yet) and I will let you know during the lecture - based on attendance and poll results - how we proceed. Note that you can always also talk to me just after the lecture (also if you attend on zoom).

Dear all,

Thanks for signing up to the Opt4ML lecture.

The first lecture will take place next Monday, April 25, at 14:15. Attendance is possible online (a zoom link will be posted under materials) or in person in the building E9 1 (CISPA), room 0.05 (lecture hall ground floor). Note that a mask is required in the CISPA lecture hall and capacity is limited to 96 students.

In order to estimate the capacity needed for the exam and to learn something about your background and expectations for the course, I would like to ask you to fill out this anonymous survey (https://forms.gle/emA3jUhCQF7VfYV2A) by Sunday, April 24.