Statistical Machine Learning Reading Group

Carnegie Mellon University

Room: 6121 Gates-Hillman Center (normal location)
            8102 Gates-Hillman Center (Sept 22, Nov 10)

Time: 2-3 pm Wednesday

SCHEDULE:

Sept 1 VC bounds on the cardinality of nearly orthogonal function classes (pdf)
Authors: Lee-Ad Gottlieb, Leonid (Aryeh) Kontorovich, Elchanan Mossel
Presenter: Shiva Kaul
Sept 8 Lossy Source Compression Using Low-Density Generator Matrix Codes: Analysis and Algorithms (pdf)
Authors: Martin Wainwright, Elitza Maneva and Emin Martinian
Presenter: Min Xu
Sept 15 Latent Variable Graphical Model Selection via Convex Optimization (pdf)
Authors: Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Presenter: Aarti Singh
Sept 22
8102 GHC 		Spectral clustering based on local linear approximations (pdf)
Authors: Ery Arias-Castro, Guangliang Chen, Gilad Lerman
Presenter: James Sharpnack

Sept 29 Learning Latent Tree Graphical Models (pdf)
Authors: Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
Presenter: Akshay Krishnamurthy

Oct 6 A Framework for Feature Selection in Clustering (pdf)
Authors: Daniela M. Witten and Robert Tibshirani
Presenter: Larry Wasserman

Oct 13 A New Analysis of Co-Training (pdf)/ Overview of Co-training
Authors: Wei Wang, Zhi-Hua Zhou
Presenter: Martin Azizyan

Oct 20 No meeting
Oct 27 SPADES and mixture models (pdf)
Authors: Florentina Bunea, Alexandre B. Tsybakov, Marten H. Wegkamp, Adrian Barbu
Presenter: Darren Warren Homrighausen
Nov 3 Implementing regularization implicitly via approximate eigenvector computation (pdf)
Authors: Michael W. Mahoney, Lorenzo Orecchia
Presenter: Shiva Kaul
Nov 10
8102 GHC 		Rates of convergence for the cluster tree (pdf)
Authors: Kamalika Chaudhuri, Sanjoy Dasgupta
Presenter: Siva Balakrishnan
Nov 17 Distribution-Specific Agnostic Boosting (pdf)
Authors: Vitaly Feldman
Presenter: Steve Hanneke
Nov 24 No meeting - Thanksgiving

Dec 1 No meeting
Reading list requests/suggestions