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---+ Probabilistic Inference Group (!PIGS) - Archive

---++ 
---++ Meetings in 2013
---+++ 21 May: Zhanxing Zhu

<a target="_blank" href="http://books.nips.cc/papers/files/nips25/NIPS2012_1027.pdf">Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses</a><br /> P. Loh and M.J. Wainwright
---+++ 7 May: Konstantinos Georgatzis

<a target="_blank" href="http://cseweb.ucsd.edu/%7Edjhsu/papers/lda-nips.pdf">A Spectral Algorithm for Latent Dirichlet Allocation</a><br /> Animashree Anandkumar, Dean P. Foster, Daniel Hsu, Sham M. Kakade, Yi-Kai Liu
---+++ 23 April: Daniel Trejo Baños

<a target="_blank" href="http://books.nips.cc/papers/files/nips25/NIPS2012_0848.pdf">Dual-Space Analysis of the Sparse Linear Model</a><br /> David Wipf, Yi Wu
---+++ 9 April: Yichuan Zhang<font size="+1"> </font>

<a target="_blank" href="http://books.nips.cc/papers/files/nips25/NIPS2012_1362.pdf">A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function</a><br /> Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel A. Braun
---+++ 26 March: Peter Orchard<font size="+1"> </font>

<a target="_blank" href="http://arxiv.org/abs/1302.4922">Structure Discovery in Nonparametric Regression through Compositional Kernel Search</a><br /> David Duvenaud, James Robert Lloyd, Roger Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani<br /> <br /> <a target="_blank" href="http://arxiv.org/abs/1302.4245">Gaussian Process Covariance Kernels for Pattern Discovery and Extrapolation</a><br /> Andrew Gordon Wilson, Ryan Prescott Adams
---+++ 12 March: Iain Murray<font size="+1"> </font>

Hoifung Poon and Pedro Domingos<br /> <a target="_blank" href="http://uai.sis.pitt.edu/papers/11/p337-poon.pdf">Sum-Product Networks: A New Deep Architecture</a>
---+++ 26 February: <font size="+1">Ioan Stanculescu </font>

James Bergstra, Yoshua Bengio<br /> <a target="_blank" href="http://jmlr.csail.mit.edu/papers/volume13/bergstra12a/bergstra12a.pdf">Random Search for Hyper-Parameter Optimization</a><br /> <br /> Jasper Snoek, Hugo Larochelle, Ryan Adams<br /> <a target="_blank" href="http://www.dmi.usherb.ca/%7Elarocheh/publications/gpopt_nips.pdf">Practical Bayesian Optimization of Machine Learning Algorithms</a>
---+++ 12 February: Jinli <font size="+1"> *Hu* </font>

R. Gens, P. Domingos. [[http://books.nips.cc/papers/files/nips25/NIPS2012_1484.pdf][Discriminative Learning of Sum-Product Networks]]
---+++ 29 January: Botond Cseke

S. C. Kou, Benjamin P. Olding, Martin Lysy & Jun S. Liu: A Multiresolution Method for Parameter Estimation of Diffusion Processes<br /> <a target="_blank" href="http://www.tandfonline.com/doi/full/10.1080/01621459.2012.720899">http://www.tandfonline.com/doi/full/10.1080/01621459.2012.720899</a>
---+++ 15 January: NIPS 2012 review

We will review the proceedings of [[http://books.nips.cc/nips25.html][NIPS 2012]]. If you would like to discuss a paper, please edit this section to include the title together with your initials.

*AJS*: Learning from the Wisdom of Crowds by Minimax Entropy. Dengyong Zhou, John Platt, Sumit Basu, Yi Mao. [[http://books.nips.cc/papers/files/nips25/NIPS2012_1091.pdf][http://books.nips.cc/papers/files/nips25/NIPS2012_1091.pdf]]

<strong>SL: </strong>MCMC for continuous-time discrete-state systems. Vinayak A Rao, Yee Whye Teh. http://books.nips.cc/papers/files/nips25/NIPS2012_0331.pdf

<strong>KG: </strong>Spectral learning of linear dynamics from generalised-linear observations with application to neural population data. Lars Buesing, Jakob H. Macke, Maneesh Sahani. http://books.nips.cc/papers/files/nips25/NIPS2012_0806.pdf

<strong>YZ: </strong>Modelling Reciprocating Relationships with Hawkes Process. Charles Blundell, Katherine A. Heller. http://books.nips.cc/papers/files/nips25/NIPS2012_1231.pdf

Topic revision: r1 - 22 Jan 2015 - 12:44:55 - Main.s1058681

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