SEMINAR ON "ADVANCED TOPICS IN MACHINE LEARNING"
Seminar in summer semester 2017
The seminar concentrates on reviewing recent developments in machine learning and related topics from the literature such as optimization and computer vision. The seminar focuses on master/phd students with background in computer science. Almost all the papers we are going to review in this seminar were accepted papers at top conferences in machine learning like NIPS, ICML, COLT.
SEMINAR FORMAT AND REQUIREMENTS
The seminar will run in reading group format. There is only one session per week where the student presents his/her corresponding paper. The presentation of each paper should take only 30 minutes and should also include a review of the relevant background that are needed to understand the presented topics. Every session will also have upto three students (assigned by us) who will lead an informal discussion of the paper. At the end of the seminar, all participants are required to submit a short summary (approx. 4 pages) of their assigned papers.
Familiarity with the basics of machine learning, probability theory/statistics and optimization is a plus but not strictly required.
TIME AND LOCATION
First meeting: 05.05.2017, 10:00, E1 1, SR 206
Seminar: Monday, 14-16, E1 1, SR 206
Registration: Please register for the seminar on HISPOS. Deadline is Monday, June 5, 2017.
Write-up: The write-up (PDF format) must be sent to your tutor via email until 17.07.2017. It should summarise your talk as well as the main points of the paper (max. 4 pages). Do not forget to hand in your writeup: Participants who do not submit a writeup cannot obtain the certificate for the seminar.