Cun-Hui Zhang

Orcid: 0000-0002-7863-7445

According to our database1, Cun-Hui Zhang authored at least 34 papers between 2000 and 2023.

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Bibliography

2023
Tensor Principal Component Analysis in High Dimensional CP Models.
IEEE Trans. Inf. Theory, February, 2023

Adaptive Linear Estimating Equations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions.
Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2021
Rate-Optimal Subspace Estimation on Random Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017
Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion.
IEEE Trans. Inf. Theory, 2017

Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries.
CoRR, 2017

Theory of the GMM Kernel.
Proceedings of the 26th International Conference on World Wide Web, 2017

2016
On Tensor Completion via Nuclear Norm Minimization.
Found. Comput. Math., 2016

2015
Compressed Sensing with Very Sparse Gaussian Random Projections.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Optimality of graphlet screening in high dimensional variable selection.
J. Mach. Learn. Res., 2014

Paths Following Algorithm for Penalized Logistic Regression Using SCAD and MCP.
Commun. Stat. Simul. Comput., 2014

Sparse Recovery with Very Sparse Compressed Counting.
CoRR, 2014

Compressed Counting Meets Compressed Sensing.
Proceedings of The 27th Conference on Learning Theory, 2014

2013
A nonparametric empirical Bayes approach to adaptive minimax estimation.
J. Multivar. Anal., 2013

Sparse matrix inversion with scaled Lasso.
J. Mach. Learn. Res., 2013

Exact sparse recovery with L0 projections.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications.
J. Mach. Learn. Res., 2012

One Permutation Hashing for Efficient Search and Learning
CoRR, 2012

Calibrated Elastic Regularization in Matrix Completion.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Transelliptical Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Entropy Estimations Using Correlated Symmetric Stable Random Projections.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

One Permutation Hashing.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data.
Proceedings of the COLT 2011, 2011

2010
Rate Minimaxity of the Lasso and Dantzig Selector for the <i>l<sub>q</sub></i> Loss in <i>l<sub>r</sub></i> Balls.
J. Mach. Learn. Res., 2010

2007
Measures of Network Vulnerability.
IEEE Signal Process. Lett., 2007

Concave Learners for Rankboost.
J. Mach. Learn. Res., 2007

2006
A generalization of the two-dimensional prolate spheroidal wave function method for nonrectilinear MRI data acquisition methods.
IEEE Trans. Image Process., 2006

2005
Network Inference from TraceRoute Measurements: Internet Topology 'Species'
CoRR, 2005

A Probability Model for Combining Ranks.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

2004
Mixed Group Ranks: Preference and Confidence in Classifier Combination.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

2001
A modified Weiszfeld algorithm for the Fermat-Weber location problem.
Math. Program., 2001

2000
A Central Limit Theorem for Convex Chains in the Square.
Discret. Comput. Geom., 2000


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