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Sparse structures: statistical theory and practice
Research workshop, 16-18 June 2010



The programme shown here is probably final, and correct as at 15 June, also available here in pdf.

Abstracts are available here in pdf.

Wednesday 16 June

09:00 Registration
09:25 Opening remarks

Invited 1
09:30 Alexandre Tsybakov (Paris VI) Estimation of high-dimensional low rank matrices
10:20 Marten Wegkamp (Florida) Dimension reduction in multivariate regression models

11:15 - 11:45 Coffee break

Contributed 1
11:45 Jianxin Pan (Manchester) Modelling of large covariance matrices
12:10 Barbara Engelhardt (Chicago) Sparse low-dimensional matrix factorization methods applied to biological data with latent structure

12:45 - 14:15 Lunch

Invited 2
14:15 Martin Wainwright (Berkeley) Graphical model selection in high dimensional settings: Practical methods and fundamental limits
15:05 Christophe Ambroise (CNRS, Paris) Inferring sparse gaussian graphical models for biological networks

16:00 - 16:30 Coffee break

Contributed 2
16:30 Guillaume Obozinski (INRIA) Structured sparse principal component analysis
16:55 Kevin Sharp (Manchester) Dense message passing for sparse principal component analysis

17:30 - 18:30 Reception and poster session

Thursday 17 June

Invited 3
09:45 Chris Holmes (Oxford) Bayesian nonparametric clustering of sparse signals

Contributed 3
10:40 Haeran Cho (LSE) Variable selection via tilting
11:05 Silvia Liverani (Bristol) Bayesian partition model selection for high-dimensional time series

11:30 - 12:00 Coffee break

Contributed 4
12:00 Florian Frommlet (Vienna) Bayes oracle and asymptotic optimality of multiple testing procedures under sparsity
12:25 Andrew Smith (Bristol) Penalised regression on a graph

12:50 - 14:30 Lunch

Invited 4
14:30 David Madigan (Columbia) High-dimensional modelling for drug safety surveillance
15:20 - 15:50 Coffee break

Contributed 5
15:50 Sarel Steel (Stellenbosch) Variable selection for kernel methods
16:15 Colin Campbell (Bristol) Multiple kernel learning methods for handling large and complex datasets

18:30 Conference Dinner, SS Great Britain

Friday 18 June

Invited 5
09:30 Sara van de Geer (Zurich) The Lasso with within group structure
10:20 François Caron (Bordeaux) Hierarchical models for sparse linear regression

11:15 - 11:45 Coffee break

Contributed 6
11:45 Keith Knight (Toronto) An adaptive lasso for correlated predictors
12:10 Paul Kirk (Imperial) Stability selection methods for biomarker discovery
12:35 Nicolas Brunel (Evry) Sparse autoregressive models for module extraction in biological networks

13:00 - 14:15 Lunch

Invited 6
14:15 Ann Lee (Carnegie Mellon) Exploiting sparse structure by Spectral Connectivity Analysis

15:10 - 15:45 Coffee break

15:45 - 17:15 Closing discussion