Probabilistic Inference Group (PIGS)
The Probabilistic Inference Group (PIGS) is a paper discussion group with meetings held fortnightly. The group focuses on probabilistic and information theoretic approaches to machine learning problems. Meetings are generally held fortnightly on Mondays at 10:30am in room 2.33
of the Informatics Forum. Announcements are made through the PIGS mailing list
Instructions for presenters:
1) Choose a mainstream
ML paper (or two).
2) Provide paper(s) at least one week
in advance of the meeting.
3) Lead a discussion of the paper(s) in the meeting.
Mainstream means a paper that does not depend heavily on domain specific background to be comprehensible. A possible test would be to consider if the techniques could fairly readily be transferred to another application area. Papers from conferences like NIPS, ICML, UAI, AISTATS, and journals like JMLR and ML papers from IEEE PAMI are likely to be in scope; but note that papers from other sources could well fit too.
Students should discuss their paper selections with their supervisor to make sure they are reasonable choices. It is acceptable to relate the selected papers to the presenter's research, but not at the expense of discussion of the selected paper.
If people want to make thematic groupings of readings it should be possible to arrange swaps in the rota in order to make this happen.
Oct 26: Harri
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily Denton, Soumith Chintala, Arthur Szlam, Rob Fergus
Oct 12: Gavin
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma, Tim Salimans, Max Welling
Meetings in 2015
Meetings in 2014
Meetings in 2013
Meetings in 2012
Meetings in 2011
Meetings in 2010
Meetings in 2009
Meetings in 2008
Meetings in 2007
Earlier meetings (2002-2006) on old website
Topic revision: r408 - 21 Oct 2015 - 16:31:42 - Main.s1251804