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This is the preliminary program for the 2007 Joint Statistical
Meetings in Salt Lake City, Utah.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2007 Program page |
= Applied Session,
= Theme Session,
= Presenter
446
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Wed, 8/1/07, 2:00 PM - 3:50 PM | CC-155 E |
| Recent Advances in Statistical Learning: Modern Regularization Methods and Semi-supervised Learning - Invited - Papers | ||
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Section on Statistical Computing, Section on Nonparametric Statistics |
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| Organizer(s): Hui Zou, The University of Minnesota | ||
| Chair(s): Jinchi Lv, Princeton University | ||
| 2:05 PM |
Efficient Large-Margin Semisupervised Learning — Junhui Wang, Columbia University;  Xiaotong Shen, The University of Minnesota
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| 2:35 PM |
Infinite Dimensional Lasso — Nathan Srebro, Toyota Technological Institute at Chicago; Saharon Rosset, IBM T.J. Watson Research Center; Ji Zhu, University of Michigan; Grzegorz Swirszcz, IBM T.J. Watson Research Center
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| 3:05 PM |
Grouped and Hierarchical Model Selection through Composite Absolute Penalties — Peng Zhao, University of California, Berkeley; Guilherme V. Rocha, University of California, Berkeley; Bin Yu, University of California, Berkeley
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| 3:35 PM | Floor Discussion | |
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JSM 2007
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |