
William S. Cleveland (Purdue, Departments of
Statistics and Computer Science)
HumanGuided,
UltraAdaptive Learning 

Peter Grunwald (CWI, The Netherlands)
Suboptimality of MDL and Bayes in Classification under
Misspecification 

Jeff Jewell (JPL, NASA)
Bayesian
Analysis of the Cosmic Microwave Background 

Eric Kolaczyk (Boston U, Department of
Mathematics & Statistics)
Efficient Estimation of EndToEnd Network Properties 

Thomas Lee (Colorado State, Department of
Statistics)
Pattern
generation using likelihood inference for cellular automata 

Yoonkyung Lee (Ohio State, Department of
Statistics)
Structured statistical learning with Support Vector Machine
for feature selection and prediction 

XiaoLi Meng (Harvard, Department of Statistics)
Quantifying
Relative Incomplete Information for Hypothesis Testing in Statistical and
Genetic Studies 
 Muthu Muthukrishnan (Rutgers, Department of
Computer & Information Science)
Estimating
Simple Statistical Parameters on High Speed Data Streams 

Vijay Nair (U of Michigan, Department of
Statistics)
Applications
to Active Network Tomography 

Deborah Nolan (UC Berkeley, Department of
Statistics)
Information
Technology, Communication, and Pedagogy 

Lawrence Saul (U of Penn, Department of Computer
& Information Science)
Nonlinear dimensionality reduction by semidefinite programming 
 Yoram Singer
(Hebrew University, Jerusalem, Department of
Computer Science)
A
new perspective on an old Perceptron algorithm 

Martin Wainwright (UC Berkeley, Departments of
Electrical Engineering & Computer Sciences, and Statistics)
Decentralized
hypothesis testing problems 
 Patrick Wolfe (Harvard
University, Division of Engineering and Applied Sciences)
A
Bayesian View of Some Fundamental Problems in Statistical Signal
Processing 

Yingnian Wu (UCLA, Department of Statistics)
From
Information Scaling of Natural Images to Regimes of Statistical Models 

Bin Yu (UC Berkeley, Department of Statistics)
Boosted Lasso 