Statistical Machine Learning Reading Group
Carnegie Mellon University
Room: 8115 Gates-Hillman CenterTime: 1-2 pm Wednesday
| SCHEDULE: |
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| July 27 |
Pruning nearest neighbor cluster trees (pdf) Authors: Samory Kpotufe and Ulrike von Luxburg |
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Prototype Selection for Interpretable Classification (pdf) Authors: Jacob Bien and Robert Tibshirani Presenter: Larry Wasserman |
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| Aug 3 |
Oracle inequalities for computationally budgeted model selection (pdf) Authors: Alekh Agarwal, John C. Duchi, Peter L. Bartlett, Clement Levrard Presenter: Aarti Singh |
| Aug 10 |
The Convex Geometry of Linear Inverse Problems (arXiv) Authors: Venkat Chandrasekaran, Benjamin Recht, Pablo A. Parrilo, Alan S. Willsky Presenter: Alessandro Rinaldo |
| Aug 17 |
Regularization Techniques for Learning with Matrices (arXiv) Authors: Sham M. Kakade, Shai Shalev-Shwartz, Ambuj Tewari Presenter: Daniel McDonald |
| Aug 24 |
A More Powerful Two-Sample Test in High Dimensions using Random Projection (arXiv) Authors: Miles E. Lopes, Laurent J. Jacob, Martin J. Wainwright Presenter: James Sharpnack |
Reading list requests/suggestions:
- Rademacher Complexities and Bounding the Excess Risk in Active Learning by Vladimir Koltchinskii pdf
- PAC-Bayesian Analysis of Co-clustering and Beyond by Y. Seldin and N. Tishby pdf
Past reading: Spring 11, Fall 10