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SuSTaIn Events Sparsity workshop Invited speakers Programme Abstracts (pdf) Presentations, by author Group photo (jpg) Photo album Information for presenters Directions Joining instructions (pdf) Accommodation Conference dinner Restaurants Participation Flyer (pdf)

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

Programme

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