Statistical Machine Learning Reading Group
Carnegie Mellon University
Room: GHC 7501Time: Monday 2:45 - 4:00pm
| SCHEDULE: |
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| Sept 10 |
Optimal Stochastic Convex Optimization Through The Lens Of Active Learning
(arXiv) Authors: A. Ramdas, A. Singh Presenter: Aaditya Ramdas |
| Sept 17 |
Connections between Logic and Probability. Random SAT instances and Phase
Transitions Presenter: Aaditya Ramdas |
| Sept 24 |
Challenge Problem Presenter: Ryan Tibshirani |
| Oct 1 |
Correlated Variables in Regression: Clustering and Sparse Estimation
(arXiv) Authors: Peter Buhlmann, Philipp Rutimann, Sara van de Geer, Cun-Hui Zhang Presenter: Mladen Kolar |
| Oct 8 |
Pairwise variable selection for high-dimensional model-based clustering
(Link) Authors: J. Guo, E. Levina, G. Michailidis, J. Zhu Clusterpath: An Algorithm for Clustering using Convex Fusion Penalties (Link) Authors: T. Hocking, A. Joulin, F. Bach, J.P. Vert Presenter: Martin Azizyan |
| Oct 15 |
Learning Bounds for Importance Weighting
(Link) Authors: Corinna Cortes and Yishay Mansour and Mehryar Mohri Presenter: Cosma Shalizi |
| Oct 22 |
Shapes of Gaussian Mixture Models Authors: Brittany Fasy, Herbert Edelsbrunner, and Gunter Rote Presenter:Brittany Fasy |
| Oct 29 |
Privacy Aware Learning
(arXiv) Authors: John Duchi, Michael Jordan, Martin Wainwright Presenter: Akshay Krishnamurthy |
| Nov 5 |
Confidence Sets in Sparse Regression
(arXiv) Authors: Richard Nickl, Sara van de Geer Presenter: Ina Fiterau |
| Nov 12 |
Optimal Rates of Convergence for Estimating Toeplitz Covariance Matrices
(Link) Authors: T. Tony Cai, Zhao Ren, Harrison Zhou Presenter: Sohail Bahmani |
| Nov 19 |
Bayesian Models for Record Linkage (Work in progress) Authors:Rob Hall, Rebecca Steorts, Steve Feinberg Presenter:Rebecca Steorts |
| Nov 26 |
Presenter:Daniela Witten |
| Dec 3 |
Convex Analysis and Optimization with Submodular Functions: A
tutorial. (arXiv) Author: Francis Bach Presenter: James Sharpnack |
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