Shuheng Zhou

Affiliations:
  • University of California, Riverside, CA, USA
  • University of Michigan, Department of Statistics, MI, USA
  • ETH Zurich, Seminar für Statistik, Switzerland
  • Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, USA


According to our database1, Shuheng Zhou authored at least 21 papers between 2007 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Debiasing and a local analysis for population clustering using semidefinite programming.
CoRR, 2024

Sharper Rates of Convergence for the Tensor Graphical Lasso Estimator.
Proceedings of the IEEE International Symposium on Information Theory, 2024

2023
Semidefinite programming on population clustering: a global analysis.
CoRR, 2023

2021
Developing an Interdisciplinary Data Science Program.
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

2019
Precision Matrix Estimation with Noisy and Missing Data.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
On Hierarchical Routing in Doubling Metrics.
ACM Trans. Algorithms, 2016

2013
On Convergence of Kronecker Graphical Lasso Algorithms.
IEEE Trans. Signal Process., 2013

The Bigraphical Lasso.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Reconstruction from Anisotropic Random Measurements.
Proceedings of the COLT 2012, 2012

Kronecker graphical lasso.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2011
High-dimensional Covariance Estimation Based On Gaussian Graphical Models.
J. Mach. Learn. Res., 2011

2010
Edge Disjoint Paths in Moderately Connected Graphs.
SIAM J. Comput., 2010

Time varying undirected graphs.
Mach. Learn., 2010

2009
Compressed and Privacy-Sensitive Sparse Regression.
IEEE Trans. Inf. Theory, 2009

Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Differential privacy with compression.
Proceedings of the IEEE International Symposium on Information Theory, 2009

2008
Learning Balanced Mixtures of Discrete Distributions with Small Sample
CoRR, 2008

2007
A rigorous analysis of population stratification with limited data.
Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2007

Compressed Regression.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Separating Populations with Wide Data: A Spectral Analysis.
Proceedings of the Algorithms and Computation, 18th International Symposium, 2007


  Loading...