NIPS Debriefing

The National NIPS debriefing is a yearly seminar (inspired by a similar seminar in Paris), where multiple PhD students and/or senior researchers from anywhere in the Netherlands give short presentations on the paper they found the most interesting at the previous NIPS conference. If you are interested in NIPS, please consider being one of the presenters.

The format is to have two hours of short talks (15 or 20 minutes, in English). It is not required to have attended NIPS, and presenters would usually not present their own papers. Talks can be informal, in a friendly atmosphere, so this is an ideal opportunity for PhD students to gain experience in giving presentations.

If you are interested in presenting a paper or if you have any questions, please contact me (Tim van Erven).

Upcoming seminars will be announced on the machine learning Netherlands mailing list.

NIPS 2017 Debriefing

Wednesday February 28, 2018
Leiden University, Snellius Building, Niels Bohrweg 1, Leiden
Room 174

Thomas Moerland Thinking Fast and Slow with Deep Learning and Tree Search by Anthony, Tian, Barber
Dirk van der Hoeven TBA
Wouter Koolen Safe and Nested Subgame Solving for Imperfect-Information Games by Brown, Sandholm
William Weimin Yoo Dynamic Routing Between Capsules by Sabour, Frosst, Hinton
Tim van Erven A high-level overview of recent thinking on why neural networks generalize, based on:

NIPS 2016 Debriefing

Friday January 20, 2017
Leiden University, Snellius Building, Niels Bohrweg 1, Leiden
Room 402

Nishant Mehta: On the Recursive Teaching Dimension of VC Classes by Chen^2, Cheng, Tang
Kevin Duisters: Matrix Completion has No Spurious Local Minimum by Ge, Lee, Ma
Dirk van der Hoeven: Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning by Grill, Valko, Munos
Tim van Erven: Deep Learning without Poor Local Minima by Kawaguchi