Thresholding procedures for High Dimensional Variable Selection and Statistical Estimation
Time Varying Undirected Graphs
Shuheng Zhou. June 5th, 2009.
To appear in
the Twenty-Third Annual Conference
on
Neural Information Processing Systems.
Shuheng Zhou, John Lafferty and Larry Wasserman.
To appear in Machine Learning Journal (invited), Special Issue for COLT 2008.
arXiv:0802.2758/
conf version
Compressed and Privacy Sensitive Sparse Regression
Shuheng Zhou, John Lafferty and Larry Wasserman.
IEEE Transactions on Information Theory, Vol.55, No.2, Pages: 846 -866,
February 2009.
Extended abstract in
Twenty-First Annual Conference on Neural Information Processing Systems.
arXiv:0706.0534
/
"Compressed Regression"
Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling
Shuheng Zhou, Sara van de Geer and Peter Buhlmann. March 2009.
Preprint arxiv:0903.2515.
Edge Disjoint Paths in Moderately Connected Graphs
with Satish Rao.
To appear in SIAM Journal on Computing,
Revised Version (May 14th, 2009),
Extended abstract in
International Colloquium on Automata, Languages and Programming (ICALP 06),
Venice, Italy. July 2006.
Abstract/ Postscript/ PDF (conf)
On Hierarchical Routing in Doubling Metrics
with T-H. Hubert Chan, Anupam Gupta and Bruce M. Maggs.
In submission to SIAM Journal of Computing. January 2009.
Preprint (coming soon)
Extended abstract in
ACM-SIAM Symposium on Discrete Algorithms (SODA) 2005.
Vancouver, BC, Canada. January 2005.
Abstract / Postscript [203K] / PDF [199K]
TR CMU-PDL-04-106 contains an updated version on routing, December 2004
Routing, Disjoint Paths, and Classification
Carnegie Mellon University Ph.D. Dissertation CMU-PDL-06-109, August 2006.
(This contains results in my SODA05, ICALP06, SODA07 papers and
arXiv:0802.1244 preprint.)
Abstract/ Postscript [1.1M]/ PDF [971K]
A Statistical Framework for Differential Privacy
Larry Wasserman and Shuheng Zhou. November 2008.
Revised October 2009.
To appear, Journal of the American Statistical Association.
arXiv:0811.2501.
Differential Privacy with Compression
Shuheng Zhou, Katrina Ligett and Larry Wasserman. January 2009.
In 2009 IEEE International Symposium on Information Theory, June -- July 2009
arXiv:0901.1365.
Differential Privacy for Continuous Data
with Larry Wasserman. Manuscript, July 2008.
Quantization and the Privacy-Accuracy Tradeoff
with Stephen Fienberg, Yuval Nardi, Alessandro Rinaldo, Larry Wasserman.
Manuscript, June 2008.
Separating Populations with Wide Data: a Spectral Analysis
with Avrim Blum, Amin Coja-Oghlan, and Alan Frieze.
Electronic Journal of Statistics,
Volume 3, Pages: 76-113,
2009.
PDF
Short version in
The 18th International Symposium on Algorithms and Computation (ISAAC 2007),
Abstract/
Conf Version
A Rigorous Analysis of Population Stratification with Limited Data
with Kamalika Chaudhuri, Eran Halperin, and Satish Rao.
ACM-SIAM Symposium on Discrete Algorithms (SODA) 2007,
New Orleans, Louisiana. January 2007.
Abstract / Postscript/ PDF
Learning Balanced Mixtures of Discrete Distributions with Small Sample
Shuheng Zhou, February 2008.
arXiv:0802.1244.
Balancing Locality and Randomness in DHTs
Shuheng Zhou, Gregory R. Ganger, Peter Steenkiste.
Carnegie Mellon University
Technical Report CMU-CS-03-203, November 2003.
Abstract
/ Postscript [489K] /
PDF [511K]
Location-based
Node IDs: Enabling Explicit Locality in DHTs
Shuheng Zhou, Gregory R. Ganger, Peter Steenkiste.
Carnegie Mellon University
Technical Report CMU-CS-03-171, September 2003.
Abstract
/ Postscript [282K] /
PDF [160K]
Design and Evaluation of an Individually Simulated Mobility Model in Wireless Ad Hoc Networks
Tan, D.S., Zhou, S., Ho, J., Mehta, J.S., Tanabe, H.
Communication Networks and Distributed Systems Modeling and Simulation Conference 2002, San Antonio, TX.
PDF[255K]
Last updated: October 18, 2009 @Copyright by Shuheng Zhou, 2000 - 2009, all rights reserved