Ji Zhu
Ji Zhu
Professor of Statistics, University of Michigan
Verified email at - Homepage
Cited by
Cited by
Sparsity and smoothness via the fused lasso
R Tibshirani, M Saunders, S Rosset, J Zhu, K Knight
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2005
Multi-class adaboost
J Zhu, H Zou, S Rosset, T Hastie
Statistics and its Interface 2 (3), 349-360, 2009
1-norm support vector machines
J Zhu, S Rosset, T Hastie, R Tibshirani
Advances in neural information processing systems 16 (1), 49-56, 2004
Boosted decision trees as an alternative to artificial neural networks for particle identification
BP Roe, HJ Yang, J Zhu, Y Liu, I Stancu, G McGregor
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2005
Sparse permutation invariant covariance estimation
AJ Rothman, PJ Bickel, E Levina, J Zhu
Electronic Journal of Statistics 2, 494-515, 2008
The entire regularization path for the support vector machine
T Hastie, S Rosset, R Tibshirani, J Zhu
Journal of Machine Learning Research 5 (Oct), 1391-1415, 2004
Partial correlation estimation by joint sparse regression models
J Peng, P Wang, N Zhou, J Zhu
Journal of the American Statistical Association 104 (486), 2009
Kernel logistic regression and the import vector machine
J Zhu, T Hastie
Journal of Computational and Graphical Statistics 14 (1), 2005
Piecewise linear regularized solution paths
S Rosset, J Zhu
The Annals of Statistics, 1012-1030, 2007
Joint estimation of multiple graphical models
J Guo, E Levina, G Michailidis, J Zhu
Biometrika, asq060, 2011
Generalized thresholding of large covariance matrices
AJ Rothman, E Levina, J Zhu
Journal of the American Statistical Association 104 (485), 177-186, 2009
Classification of gene microarrays by penalized logistic regression
J Zhu, T Hastie
Biostatistics 5 (3), 427-443, 2004
Consistency of community detection in networks under degree-corrected stochastic block models
Y Zhao, E Levina, J Zhu
The Annals of Statistics 40 (4), 2266-2292, 2012
Boosting as a regularized path to a maximum margin classifier
S Rosset, J Zhu, T Hastie
The Journal of Machine Learning Research 5, 941-973, 2004
Sparse multivariate regression with covariance estimation
AJ Rothman, E Levina, J Zhu
Journal of Computational and Graphical Statistics 19 (4), 947-962, 2010
L1-norm quantile regression
Y Li, J Zhu
Journal of Computational and Graphical Statistics 17 (1), 2008
Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer
J Peng, J Zhu, A Bergamaschi, W Han, DY Noh, JR Pollack, P Wang
The annals of applied statistics 4 (1), 53, 2010
The doubly regularized support vector machine
L Wang, J Zhu, H Zou
Statistica Sinica 16 (2), 589, 2006
Comparison of imputation methods for missing laboratory data in medicine
AK Waljee, A Mukherjee, AG Singal, Y Zhang, J Warren, U Balis, ...
BMJ open 3 (8), e002847, 2013
Functional linear regression that's interpretable
GM James, J Wang, J Zhu
The Annals of Statistics, 2083-2108, 2009
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