Preliminary Short Course/Conference Schedule (Updated May 24, 2005)

June 1, Wednesday:

8:30am		Short Course Check-in (Clark A202, CSU Campus)    
9:00am - 5:00 pm 	Short Course by Mark Hansen and Bin Yu (Clark A202, CSU Campus) 

6:45pm 		Conference Registration & Check-in (Hilton Fort Collins - Pre-Convention)

7:00pm - 9:00 pm	Opening Mixer (Hilton Fort Collins- Oklahoma Rm)

7:00pm - 9:00pm  Poster Session (Hilton Fort Collins- Oklahoma Rm)

June 2, Thursday  Hilton Fort Collins

8:15 am 		Conference Registration & Check-in (Pre-Convention)

8:45 - 9:00 am   	Opening Remarks (Idaho/Michigan Rm)

9:00 - 9:30 am	Vijay Nair: Statistical Inference in Trees and Applications to Active Network Tomography

9:30 - 10:00 am 	Eric Kolaczyk: Efficient Estimation of End-To-End Network Properties

10:00 - 10:30 am 	Muthu Muthukrishnan: Estimating Simple Statistical Parameters on High Speed Data Streams

10:30 - 11:00 am	Break

11:00 - 11:30 am 	Ying Nian Wu: From Information Scaling of Natural Images to Regimes of Statistical Models

11:30 - 12:00 pm 	Xiao-Li Meng:  Quantifying Relative Incomplete Information for Hypothesis Testing in Statistical and Genetic Studies

12:00 - 1:00 pm	LUNCH (Atrium)

1:00 - 1:45 pm	Plenary Talk 1 (Idaho/Michigan Rm)
		David Madigan: High-Dimensional Bayesian Classifiers

1:45 - 2:15 pm	Peter Grunwald: Suboptimality of MDL and Bayes in Classification under Misspecification

2:15 - 2:45 pm	Bin Yu: Boosted Lasso 

2:45 - 3:15 pm	Break

3:15 - 3:45 pm	Deborah Nolan:  Information Technology, Communication, and Pedagogy

3:45 - 4:15 pm	William S. Cleveland: Human-Guided, Ultra-Adaptive Learning

4:15 - 4:45 pm	Jeff Jewel: Bayesian Analysis of the Cosmic Microwave Background

6:30pm		Cash bar (Oklahoma Rm)
7:00pm		Banquet (Oklahoma Rm)
 

June 3, Friday 	Hilton Fort Collins

8:30 - 9:15 am 	Plenary Talk 2 (Idaho/Michigan Rm)
		Jerome Friedman:  Predictive Learning via Rule Ensembles 

9:15 - 9:45 am 	Lawrence Saul: Nonlinear dimensionality reduction by semidefinite programming

9:45 - 10:15 am 	Yoram Singer: A new perspective on an old Perceptron algorithm

10:15 - 10:45 am 	Break

10:45 - 11:15 am 	Martin Wainwright: Decentralized hypothesis testing problems 

11:15 - 11:45 am	Yoonkyung Lee: Structured statistical learning with Support Vector Machine for feature selection and prediction 

11:45 - 12:15 pm 	Patrick J. Wolfe: A Bayesian View of Some Fundamental Problems in Statistical Signal Processing

12:15 - 1:15 pm	LUNCH (Atrium)

1:15 - 2:00 pm	Plenary Talk 3 (Idaho/Michigan Rm)
		Daniela Rus: Autonomous Mobile Networks

2:00 - 2:30 pm	Thomas Lee:  Pattern generation using likelihood inference for cellular automata

2:30 - 2:35 pm	Closing Remarks

2:35 - 3:15 pm	Closing Mixer (Atrium)