 |
William S. Cleveland (Purdue, Departments of
Statistics and Computer Science)
Human-Guided,
Ultra-Adaptive 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 End-To-End 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 |
|
Xiao-Li 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 |
