Poster Spotlights 1
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A Comparison of Inference Methods for Sparse Factor Analysis Models
Oliver Stegle, Kevin Sharp, Magnus Rattray, John Winn
Generalization Bounds for Learning the Kernel: Rademacher Chaos Complexity
Yiming Ying, Colin Campbell
Learning Non-Sparse Kernel Mixtures
Marius Kloft, Ulf Brefeld, Soren Sonnenburg, Alexander Zien, Pavel Laskov, Klaus-Robert Muller
l1 regularization path for functional features
Manuel Loth, Philippe Preux
Lq-regularised sparse classifiers: A PAC-Bayes analysis
Robust Regression and Lasso
Huan Xu, Constantine Caramanis, Shie Mannor
Selection in Functional ANOVA Models with Non-uniform Data
Marco Signoretto, Kristiaan Pelckmans, Johan A.K. Suykens
Sparse and Interpretable Principal Components
Doyo Gragn, Nickolay T. Trendafilov
Sparse multiscale spatial models of fMRI on irregular graphs
Harrison L., Woods W., Green G.
Stagewise Polytope Faces Pursuit for Recovery of Sparse Representations
Mark D. Plumbley, Marco Bevilacqua
Subspectral Algorithms for Sparse Learning
Baback Moghaddam, Yair Weiss, Shai Avidan
Variable Selection and Sparsity Recovery via L1/2 Penalty
Zongben Xu, Hai Zhang, Yao Wang, Xiangyu Chang
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