Statistical Machine Learning Reading Group
Carnegie Mellon University
Room: GHC 7101Time: Thursday 3:00 - 4:00pm
| SCHEDULE: |
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| Jan 17 |
Practice Job Talk Presenter:Xi Chen Time/Location:3-4:30pm, GHC 7101 |
| Jan 24 |
Game Theory, Mechanism Design, and Connections to Statistics Presenter: Min Xu Commenter: Aaditya Ramdas Paper(s): Section 9.3 of "Algorithmic Game Theory" (Nissan et. al.) (link) The Price of Truthfulness in Pay-per-Click Auction (Devanur and Kakade) (link) Time/Location: 3-4pm, GHC7101 |
| Jan 31 |
Presenter: Aarti Singh Commenter: Larry Wasserman Paper: A Framework for Estimation of Convex Functions (Cai and Low) (link) Time/Location: 3-4pm, GHC 7101 |
| Feb 7 |
Wigner's Semicircle Law and Random Matrix Theory Presenter: James Sharpnack Commenter: Martin Azizyan Paper: Chapter 2 of An Introduction to Random Matrices (Anderson et. al.) (link) Time/Location: 3-4pm, GHC 7101 |
| Feb 14 |
Paper: Robust Kernel Density Estimation (link) Authors: JooSeuk Kim, Clayton Scott Presenter: Martin Azizyan Commenter: Akshay Krishnamurthy Time/Location 3-4pm, GHC 7101 |
| Feb 21 |
Paper: Spectral Clustering Based on Local PCA
(link) Authors: Ery Arias-Castro, Gilad Lerman, Teng Zhang Presenter: Akshay Krishnamurthy Commenter: Aarti Singh Time/Location: 3-4pm, GHC 7101 |
| Feb 28 |
Paper:Metric Graph Reconstruction from Noisy Data
(link) Authors: Mridul Aanjaneya, Frederic Chazal, Daniel Chen, Marc Glisse , Leonidas J. Guibas, and Dmitriy Morozov Presenter: Fabrizio Lecci Commenter(s): Larry Wasserman and Alessandro Rinaldo Time/Location: 3-4pm, GHC 7101 |
| Mar 7 |
Presenter: Amir Nayyeri Topic: Topological Ideas in Computer Science Time/Location:3-4pm, GHC 7101 |
| Mar 21 |
Papers: (1) Second Order Comparison of Gaussian Random Functions and the
Geometry of DNA Minicircles (link). (2) Testing the Equality of Covariance Operators in
Functional Samples (arXiv) Authors: (1) Panaretos, Kraus and Maddocks. (2) Fremdt, Steinebach, Horvath, and Kokoszka Presenter: Jing Lei Time/Location: 3-4pm, GHC 7101 |
| Mar 28 |
Paper: Computational and Statistical Tradeoffs via Convex Relaxation
(arXiv). Authors Venkat Chandrasekaran and Michael Jordan Presenter: Sohail Bahmani Time/Location: 3-4pm, GHC 7101 |
| Apr 4 |
Paper: Learning Theory Estimates via Integral Operators and Their
Approximations
(link). Authors: Steve Smale and Ding-Xuan Zhou Presenter: Ina Fiterau Commenter: Min Xu Time/Location: 3-4pm, GHC 7101 |
| Apr 11 |
Paper: A Significance Test for the Lasso (link) Authors: Richard Lockhart, Jonathan Taylor, Ryan Tibshirani, Rob Tibshirani Presenter Ryan Tibshirani Time/Location: 3-4pm, GHC 6501 |
| Apr 18 |
Paper: Computational Lower Bounds for Sparse PCA
(link) Authors: Quentin Berthet, Phillipe Rigollet Presenter: Mladen Kolar Commenter: Akshay Krishnamurthy Time/Location: 3-4pm, GHC 7101 |
| Apr 25 | |
| May 2 |
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