Shuheng Zhou

28 papers A* 4A 2B 3Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Debiasing and a local analysis for population clustering using semidefinite programming.
CoRR
Shuheng Zhou
2024 B conf
Sharper Rates of Convergence for the Tensor Graphical Lasso Estimator.
ISIT
Shuheng Zhou, Kristjan H. Greenewald
2023 J jnl
Semidefinite programming on population clustering: a global analysis.
CoRR
Shuheng Zhou
2021 A conf
Developing an Interdisciplinary Data Science Program.
SIGCSE
Mariam Salloum, Daniel R. Jeske, Wenxiu Ma, Vagelis Papalexakis, Christian R. Shelton, Vassilis J. Tsotras, Shuheng Zhou
2019 A conf
Precision Matrix Estimation with Noisy and Missing Data.
AISTATS
Roger Fan, Byoungwook Jang, Yuekai Sun, Shuheng Zhou
2019 J jnl
Precision Matrix Estimation with Noisy and Missing Data.
CoRR
Roger Fan, Byoungwook Jang, Yuekai Sun, Shuheng Zhou
2017 — conf
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis.
NIPS
Kristjan H. Greenewald, Seyoung Park, Shuheng Zhou, Alexander Giessing
2016 J jnl
On Hierarchical Routing in Doubling Metrics.
ACM Trans. Algorithms
T.-H. Hubert Chan, Anupam Gupta, Bruce M. Maggs, Shuheng Zhou
2013 J jnl
On Convergence of Kronecker Graphical Lasso Algorithms.
IEEE Trans. Signal Process.
Theodoros Tsiligkaridis, Alfred O. Hero III, Shuheng Zhou
2013 J jnl
Reconstruction From Anisotropic Random Measurements.
IEEE Trans. Inf. Theory
Mark Rudelson, Shuheng Zhou
2013 — conf
The Bigraphical Lasso.
ICML (3)
Alfredo A. Kalaitzis, John D. Lafferty, Neil D. Lawrence, Shuheng Zhou
2012 — conf
Kronecker graphical lasso.
SSP
Theodoros Tsiligkaridis, Alfred O. Hero III, Shuheng Zhou
2012 A* conf
Reconstruction from Anisotropic Random Measurements.
COLT
Mark Rudelson, Shuheng Zhou
2011 J jnl
High-dimensional Covariance Estimation Based On Gaussian Graphical Models.
J. Mach. Learn. Res.
Shuheng Zhou, Philipp Rütimann, Min Xu, Peter Bühlmann
2011 J jnl
Reconstruction from anisotropic random measurements
CoRR
Mark Rudelson, Shuheng Zhou
2010 J jnl
Edge Disjoint Paths in Moderately Connected Graphs.
SIAM J. Comput.
Satish Rao, Shuheng Zhou
2010 J jnl
Time varying undirected graphs.
Mach. Learn.
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
2009 J jnl
Compressed and Privacy-Sensitive Sparse Regression.
IEEE Trans. Inf. Theory
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
2009 B conf
Differential privacy with compression.
ISIT
Shuheng Zhou, Katrina Ligett, Larry A. Wasserman
2009 — conf
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation.
NIPS
Shuheng Zhou
2008 J jnl
Learning Balanced Mixtures of Discrete Distributions with Small Sample
CoRR
Shuheng Zhou
2008 A* conf
Time Varying Undirected Graphs.
COLT
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
2007 A* conf
A rigorous analysis of population stratification with limited data.
SODA
Kamalika Chaudhuri, Eran Halperin, Satish Rao, Shuheng Zhou
2007 J jnl
Compressed Regression
CoRR
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
2007 — conf
Compressed Regression.
NIPS
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
2007 B conf
Separating Populations with Wide Data: A Spectral Analysis.
ISAAC
Avrim Blum, Amin Coja-Oghlan, Alan M. Frieze, Shuheng Zhou
2006 — conf
Edge Disjoint Paths in Moderately Connected Graphs.
ICALP (1)
Satish Rao, Shuheng Zhou
2005 A* conf
On hierarchical routing in doubling metrics.
SODA
Hubert Tsz-Hong Chan, Anupam Gupta, Bruce M. Maggs, Shuheng Zhou