Statistical Machine Learning Reading Group
Carnegie Mellon University
Room: Currently Rotating RoomsTime: 10:30 am-12:00 pm Monday
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| Jan 23 |
Minimax Rates of Estimation for Sparse PCA in High Dimensions Authors: V. Vu, J. Lei Presenter: Vince Vu |
| Jan 30 |
Simpler Approach To Matrix Completion (arXiv) Authors: B. Recht Presenter: Aaditya Ramdas |
| Feb 6 |
Variance estimation using refitted cross-validation in ultrahigh dimensional regression (arXiv) Authors: J. Fan, S. Guo and N. Hao Presenter: James Sharpnack |
| Feb 13 |
Noisy Independent Factor Analysis Model for Density Estimation and Classification (arXiv) Authors: Umberto Amato, Anestis Antoniadis, Alexander Samarov, Alexander Tsybakov Presenter: Larry Wasserman |
| Feb 20 |
Lower Bounds for Passive and Active Learning (here) Authors: M. Raginsky and A. Rakhlin Presenter: Steve Hanneke |
| Feb 27 |
Tight conditions for consistent variable selection in high dimensional nonparametric regression (arXiv) Authors: Laetitia Comminges, Arnak Dalalyan Presenter: Ina Fiterau |
| Mar 5 |
On Low-Dimensional Projections of High-Dimensional Distributions (arXiv) Authors: Lutz Dumbgen, Perla Zerial Presenter: Martin Azizyan |
| Mar 19 |
A Geometric Analysis of Subspace Clustering with Outliers (arXiv) Authors: Mahdi Soltanolkotabi and Emmanuel J. Candes Presenter: Sivaraman Balakrishnan |
| Mar 26 |
THE LASSO, CORRELATED DESIGN, AND IMPROVED ORACLE INEQUALITIES (arXiv) Authors: Sara van de Geer and Johannes Lederer Presenter: Mladen Kolar |
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