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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.

Upcoming discussions:

Oct 12: Gavin

Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma, Tim Salimans, Max Welling

Past discussions:

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 attachments
I Attachment Action Size Date Who Comment
zipzip manage 4178.0 K 15 Jul 2008 - 12:53 Main.s0565918  
pdfpdf latent-models-covariance.pdf manage 276.1 K 20 Jul 2007 - 13:38 Main.s9810791 Latent models for cross-covariance (PIGS 24th July 2007)
Topic revision: r407 - 05 Oct 2015 - 10:49:57 - Main.s1251804
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