Cumberland Lodge, 1 - 3 April 2009
Wednesday 1 April 2009
12.00 - 13.30: Lunch and Welcome
13.30 - 14.30: Sparse Exponential Weighting and Langevin Monte-Carlo ; [abstract]
Alexandre Tsybakov, CREST and Université Paris VI
14.30 - 15.30: Phase transitions phenomenon in Compressed Sensing ; [abstract]
Jared Tanner, University of Edinburgh
15.30 - 15.55: Large Precision Matrix Estimation for Time Series Data with Latent Factor Model ; [abstract]
Clifford Lam, London School of Economics
15.55 - 16.25: Coffee Break
16.25 - 17.25: Fast methods for sparse recovery: alternatives to L1 ; [abstract]
Mike Davies, University of Edinburgh
17.30 - 18.00: Poster Spotlights, Group 1 ; [abstracts]
18.00 - 19.30: Poster Session, Group 1 ; [abstracts]
19.30 - 21.00: Dinner
Thursday 2 April 2009
09.00 - 10.00: Multi-Task Learning via Matrix Regularization ; [abstract]
Andreas Argyriou ,University College London
10.00 - 11.00: Algorithmic Strategies for Non-convex Optimization in Sparse Learning ; [abstract]
Tong Zhang, Rutgers University
11.00 - 11.30: Coffee Break
11.30 - 12.30: High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning ; [abstract]
Francis Bach, INRIA
12.30 - 12.55: Matching Pursuit Kernel Fisher Discriminant Analysis ; [abstract]
Tom Diethe, University College London
12.55 - 14.30: Lunch
14.30 - 15.30: Some results for the adaptive Lasso ; [abstract]
Sara van de Geer, ETH Zurich
15.30 - 15.55: Best Approximation with Laplacian p-Norms to Predict the Labeling of a Graph; [abstract]
Mark Herbster, University College London
15.55 - 16.55: Latent Variable Sparse Bayesian Models ; [abstract]
David Wipf, University of California
16.55 - 17.30: Coffee Break
17.30 - 18.00: Poster Spotlights, Group 2 ; [abstracts]
18.00 - 19.30: Poster Session, Group 2 ; [abstracts]
19.30 - 21.00: Dinner
21.00 - 22.30: Discussion Forum
Friday 3 April 2009
09.00 - 10.00: Sparsity in online multitask/multiview learning ; [abstract]
Nicoló Cesa-Bianchi, Università degli Studi di Milano
10.00 - 11.00: Learning with Many Reproducing Kernel Hilbert Spaces ; [abstract]
Ming Yuan, Georgia Tech College of Engineering
11.00 - 11.30: Coffee Break
11.30 - 11.55: Distilled Sensing: Active sensing for sparse recovery ; [abstract]
Rui Castro, Columbia University
11.55 - 12.55: Testing and estimation in a sparse normal means model, with connections to shape restricted inference ; [abstract]
Jon Wellner, University of Washington
12.55 - 14.30: End of workshop and Lunch