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Probabilistic Inference Group (PIGS) - Archive

Meetings in 2011

29 November: Peter Orchard

15 November: Guido Sanguinetti

1 November: Ioan Stanculescu

We will discuss the following papers:

18 October: Ali Eslami

We will discuss the following papers:

4th October: UAI review

We will review the proceedings of UAI 2011. If you would like to discuss a paper, please edit this section to include the title together with your initials.

SL: Pitman-Yor Diffusion Trees - Knowles, Ghahramani

AJS: Sum Product Networks - Poon, Domingos

NH: Bregman divergence as general framework to estimate unnormalized statistical models - Gutmann, Hirayama

CKIW: Conditional Restricted Boltzmann Machines for Structured Output Prediction -- Mnih, Larochelle, Hinton

DR: Classification of Sets using Restricted Boltzmann Machines -- Louradour, Larochelle

20th September: Matthias Bethge

  • Guest lecture by Matthias Bethge.

Tue August 23rd - Shahzad Asif

Tue 9th August - Yichuan Zhang

Tue 26 July - "ICML 2011"

Tue 12 July - Athina Spiliopoulou

We will discuss the following paper:

Tue 28 June - Andrea Ocone

We will discuss the following papers:

Tue 14 June - talk by Michalis Titsias

Title: Sparse Variational Inference for Multi-Task Learning

Tue 17 May - "AISTATS 2011"

Please add your paper nominations together with your initials.

Tue 3 May - Ronald Begg

We will discuss the following paper:

Tue 19 April - Simon Lyons

We will discuss the following papers:

Tue 5 April - Frank Dondelinger

We will discuss the following paper:

Tue 22 March - Grigorios Skolidis

We will discuss the following paper:

Tue 8 March - Botond Cseke

We will discuss the following paper:

Tue 22 February - Chris Williams

We will discuss the following paper:

Tue 8 February - David Reichert

We will discuss the following paper:

  • Olivier Breuleux, Yoshua Bengio, and Pascal Vincent, Neural Computation (in press): Quickly Generating Representative Samples from an RBM-Derived Process
If there is time, we will also discuss:

Tue 25 January - Charles Sutton

We will discuss the following paper

Tue 11 January - "NIPS 2010 highlights"

(*) DR: Due to my short notice decision to submit something to ICANN, I probably won't have time to look at the paper, so it's up for grabs.

Leave at bottom of list:

CW: There are lots of other papers I like that I hope someone will choose, e.g. Structured Determinantal Point Processes by Alex Kulesza, Ben Taskar; Tree-Structured Stick Breaking for Hierarchical Data, Ryan Adams, Zoubin Ghahramani, Michael Jordan; The Multidimensional Wisdom of Crowds
Peter Welinder, Steve Branson, Serge Belongie, Pietro Perona; Self-Paced Learning for Latent Variable Models
M. Pawan Kumar, Benjamin Packer, Daphne Koller; Learning Convolutional Feature Hierarchies for Visual Recognition, Kavukcuoglu et al; Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform
Siwei Lyu; Global seismic monitoring as probabilistic inference,Nimar Arora, Stuart Russell, Paul Kidwell, Erik Sudderth (application); Energy Disaggregation via Discriminative Sparse Coding, J. Zico Kolter, Siddharth Batra, Andrew Ng (application)

IM: There are some other papers I could say a sentence or two about: "Tree-Structured Stick Breaking for Hierarchical Data" by Ryan Adams, Zoubin Ghahramani, Michael Jordan; "Global seismic monitoring as probabilistic inference" by Nimar Arora, Stuart Russell, Paul Kidwell, Erik Sudderth; "Label Embedding Trees for Large Multi-Class Tasks" by Samy Bengio, Jason Weston, David Grangier; Comparing "Movement extraction by detecting dynamics switches and repetitions" by Silvia Chiappa, Jan Peters and "Mixture of time-warped trajectory models for movement decoding" by Elaine Corbett, Eric Perreault, Konrad Koerding; "Self-Paced Learning for Latent Variable Models" by M. Pawan Kumar, Benjamin Packer, Daphne Koller.

Topic revision: r1 - 22 Jan 2015 - 12:21:23 - Main.s1058681
 
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