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)
|