|Organizers:||Jan Peters, Gerhard Neumann, Stefan Roth|
|Default Time:||16:15 to 18:00|
|Default Room:||S202 A102|
|TU-CAN:||20-00-0804-se Weiterführende Themen im Maschinellen Lernen|
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).
Each participant is asked to send at least 3 topics he is interested to Jan Peters by Monday the 4th of May. We will then assign the teams, where each master student will be paired with a post-doc who will become his "coach" for the presentation. You can choose from the following topics: