Schedule of Talks
MACHINE AND STATISTICAL LEARNING:
PREDICTION AND DISCOVERY
Snowbird
Salt Lake City, Utah
Sunday, June 25 – Thursday, June 29, 2006
Supported in part by the National Science Foundation, American Mathematical Society, Institute of
Mathematical Statistics, and the Society for Industrial and Applied Mathematics.
Organizing Committee:
Joseph Verducci, Ohio State University
Xiaotong Shen, University of Minnesota
John Lafferty, Carnegie Mellon University
Saturday, June 24:
Arrival and Check-in
Sunday, June 25:
7:30 - 9:00
9:00 - 9:25
9:30 - 10:25
10:30 - 11:00
11:00 - 11:55
12:00 - 1:30
1:30 - 2:25
2:30 - 3:25
3:30 - 4:00
4:00 - 5:00
6:00 - 7:30
8:00 - 9:30
- Breakfast
- Welcome – Joe Verducci
- Tony Jebara: Permutation and b-Matching in Machine Learning
- Break
- Tao Shi: Binning in Gaussian KernelRegularization
- Lunch
- Chao Wang: Machine and Statistical Learning for Database Querying
- Parthasarathy Srinivasan: Classification of Corneal Disease
- Break
- Discussion
- Dinner
- Reception
Monday, June 26:
7:00 - 8:30
8:30 - 9:25
9:30 - 10:25
10:30 - 11:00
11:00 - 11:55
12:00 - 1:30
1:30 - 2:25
2:30 - 3:25
3:30 - 4:00
4:00 - 5:00
5:00 - 6:00
6:00 - 7:30
7:45 - 9:30
- Breakfast
- Xiaotong Shen: Large Margin Semi-supervised Learning
- Yufeng Liu: Class Probability Estimation for the SVM
- Break
- Helen Zhang: SVM Classification with Informative Features
- Lunch
- Yoon Lee: Solution Path of Multicategory SVM
- Ji Zhu: Image Denoising via Solution Paths
- Break
- Ming Yuan: Robust SVM for Banking Fraud Detection
- Discussion
- Dinner
- Poster Session
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June 25–June 30, 2006
Last saved on: 2/13/2016 - 4:51 AM
Schedule of Talks
Tuesday, June 27:
7:00 - 8:30
8:30 - 9:25
9:30 - 10:25
10:30 - 11:00
11:00 - 11:55
12:00 - 1:30
1:30 - 2:25
2:30 - 3:25
3:30 - 4:00
4:00 - 5:00
6:00 - 7:30
- Breakfast
- Jerry Friedman: Predictive Learning via Rule Ensembles
- Cynthia Rudin:Convergence of Boosting Algorithms
- Break
- John Lafferty: Sparse Nonparametric Regression Using the Rodeo
- Lunch
- Jaideep Srivastava: Socio-Cognitive Analysis of an Email Network
- Ernest Fokoue: Bayesian Optimal Predictive Model Selection
- Break
- Discussion
- Dinner
Wednesday, June 28:
7:00 - 8:30
8:30 - 9:25
- Breakfast
- Topical Session:
Cynthia Rudin: Ranking with a P-norm push
Jaideep Srivastava: Experiences at Amazon.com
9:30 - 10:25 - Vipin Kumar: Association Pattern Analysis - Applications in Bioinformatics
10:30 - 11:00 - Break
11:00 -11:55 - Joe Verducci: Shrunken Centroid Ordering by Orthogonal Projections
12:00 - 1:30 - Lunch
- Free Afternoon
6:00 - 7:30
- Dinner
7:30 - 9:00
- Wing Wong: Order-directed Bayesian Network Sampler
Thursday, June 29:
7:00 - 8:30
8:30 - 9:25
9:30 - 10:25
10:30 - 11:00
11:00 - 11:55
12:00 - 1:30
1:30 - 2:25
2:30 - 3:25
3:30 - 4:00
4:00 - 5:00
5:00 - 6:00
6:00 - 7:30
- Breakfast
- Art Owen: A robust hybrid of lasso and ridge regression
- Hui Zou: Feature Selection and Classification via a Hybrid SVM
- Break
- Yongdai Kim: Gradient LASSO Algorithm
- Lunch
- Wei Pan: Penalized Model-Based Clustering & Variable Selection
- Marina Meila: Stability of a Good Clustering
- Break
- David Gondek: Clustering-based Approaches to Topic Detection
- Discussion
- Dinner
Friday, June 30:
7:30 - 8:45
- Complimentary Continental Breakfast
(Checkout)
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June 25–June 30, 2006
Last saved on: 2/13/2016 - 4:51 AM