Advanced Topics in Machine Learning

Advanced Topics in Machine Learning

Winter semester 2015/2016

The seminar concentrates on reviewing the latest developments in machine learning by reviewing topics and papers from the last few NIPS, ICML and AISTATS conferences. The seminar is focused on PhD students but outstanding master students are also welcome to join. There will be different topics presented by groups of 2-3 team members. The presentation of each topic should take approximately 60-90 minutes and should also include a review of the relevant background that are needed to understand the presented topics. PhD students should present once a year (every second semester).

Quick links

Course websiteTUCaN


Module no. 20-00-0804-se
Event type seminar
Being taught irregularly
Time Wednesdays, 16:00 – 18:00
First class 14.10.2015
Location S2|02, room A102
Lecturer Prof. Dr. techn. Gerhard Neumann, Prof. Jan Peters, Ph.D., Prof. Stefan Roth, Ph.D.


Learning goals