Bin YU
Bin YU
Professor of Statistics and EECS, UC Berkeley
Verified email at - Homepage
Cited by
Cited by
Adaptive wavelet thresholding for image denoising and compression
SG Chang, B Yu, M Vetterli
IEEE transactions on image processing 9 (9), 1532-1546, 2000
On model selection consistency of Lasso
P Zhao, B Yu
The Journal of Machine Learning Research 7, 2541-2563, 2006
Spatially adaptive wavelet thresholding with context modeling for image denoising
SG Chang, B Yu, M Vetterli
IEEE Transactions on image Processing 9 (9), 1522-1531, 2000
The minimum description length principle in coding and modeling
A Barron, J Rissanen, B Yu
IEEE Transactions on Information Theory 44 (6), 2743-2760, 1998
A Unified Framework for High-Dimensional Analysis of -Estimators with Decomposable Regularizers
SN Negahban, P Ravikumar, MJ Wainwright, B Yu
Statistical science 27 (4), 538-557, 2012
Boosting with the L 2 loss: regression and classification
P Bühlmann, B Yu
Journal of the American Statistical Association 98 (462), 324-339, 2003
Lasso-type recovery of sparse representations for high-dimensional data
N Meinshausen, B Yu
The annals of statistics 37 (1), 246-270, 2009
Reconstructing visual experiences from brain activity evoked by natural movies
S Nishimoto, AT Vu, T Naselaris, Y Benjamini, B Yu, JL Gallant
Current biology 21 (19), 1641-1646, 2011
Model selection and the principle of minimum description length
MH Hansen, B Yu
Journal of the American Statistical Association 96 (454), 746-774, 2001
Analyzing bagging
P Bühlmann, B Yu
The Annals of Statistics 30 (4), 927-961, 2002
High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence
P Ravikumar, MJ Wainwright, G Raskutti, B Yu
Electronic Journal of Statistics 5, 935-980, 2011
Spectral clustering and the high-dimensional stochastic blockmodel
K Rohe, S Chatterjee, B Yu
Annals of Statistics 39 (4), 1878-1915, 2011
Internet tomography
A Coates, AO Hero III, R Nowak, B Yu
IEEE Signal processing magazine 19 (3), 47-65, 2002
The composite absolute penalties family for grouped and hierarchical variable selection
P Zhao, G Rocha, B Yu
The Annals of Statistics 37 (6A), 3468-3497, 2009
Network tomography: Recent developments
R Castro, M Coates, G Liang, R Nowak, B Yu
Statistical science, 499-517, 2004
Minimax Rates of Estimation for High-Dimensional Linear Regression Over-Balls
G Raskutti, MJ Wainwright, B Yu
IEEE transactions on information theory 57 (10), 6976-6994, 2011
Restricted eigenvalue properties for correlated Gaussian designs
G Raskutti, MJ Wainwright, B Yu
The Journal of Machine Learning Research 11, 2241-2259, 2010
Time-varying network tomography: Router link data
J Cao, D Davis, S Vander Wiel, B Yu
Journal of the American statistical association 95 (452), 1063-1075, 2000
Boosting with early stopping: Convergence and consistency
T Zhang, B Yu
The Annals of Statistics 33 (4), 1538-1579, 2005
Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems.
J Ye, B Yu
Journal of Machine Learning Research 6 (4), 2005
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