Probabilistic Inference Group (PIGS) - Archive
Meetings in 2013
21 May: Zhanxing Zhu
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses P. Loh and M.J. Wainwright
7 May: Konstantinos Georgatzis
A Spectral Algorithm for Latent Dirichlet Allocation Animashree Anandkumar, Dean P. Foster, Daniel Hsu, Sham M. Kakade, Yi-Kai Liu
23 April: Daniel Trejo Baņos
Dual-Space Analysis of the Sparse Linear Model David Wipf, Yi Wu
9 April: Yichuan Zhang
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel A. Braun
26 March: Peter Orchard
Structure Discovery in Nonparametric Regression through Compositional Kernel Search David Duvenaud, James Robert Lloyd, Roger Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani
Gaussian Process Covariance Kernels for Pattern Discovery and Extrapolation Andrew Gordon Wilson, Ryan Prescott Adams
12 March: Iain Murray
Hoifung Poon and Pedro Domingos
Sum-Product Networks: A New Deep Architecture
26 February: Ioan Stanculescu
James Bergstra, Yoshua Bengio
Random Search for Hyper-Parameter Optimization Jasper Snoek, Hugo Larochelle, Ryan Adams
Practical Bayesian Optimization of Machine Learning Algorithms
12 February: Jinli Hu
R. Gens, P. Domingos.
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
http://www.tandfonline.com/doi/full/10.1080/01621459.2012.720899
15 January: NIPS 2012 review
We will review the proceedings of
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
SL: MCMC for continuous-time discrete-state systems. Vinayak A Rao, Yee Whye Teh.
http://books.nips.cc/papers/files/nips25/NIPS2012_0331.pdf
KG: 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
YZ: Modelling Reciprocating Relationships with Hawkes Process. Charles Blundell, Katherine A. Heller.
http://books.nips.cc/papers/files/nips25/NIPS2012_1231.pdf