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Bin YU
Bin YU
Professor of Statistics and EECS, UC Berkeley
Verified email at stat.berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Adaptive wavelet thresholding for image denoising and compression
SG Chang, B Yu, M Vetterli
IEEE transactions on image processing 9 (9), 1532-1546, 2000
40192000
On model selection consistency of Lasso
P Zhao, B Yu
The Journal of Machine Learning Research 7, 2541-2563, 2006
30742006
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
14652000
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
13702012
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
13411998
Boosting with the L 2 loss: regression and classification
P Bühlmann, B Yu
Journal of the American Statistical Association 98 (462), 324-339, 2003
10822003
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
10172011
Lasso-type recovery of sparse representations for high-dimensional data
N Meinshausen, B Yu
The annals of statistics 37 (1), 246-270, 2009
9592009
Analyzing bagging
P Bühlmann, B Yu
The annals of Statistics 30 (4), 927-961, 2002
9572002
Spectral clustering and the high-dimensional stochastic blockmodel
K Rohe, S Chatterjee, B Yu
The Annals of Statistics 39 (4), 1878-1915, 2011
9312011
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
9202011
Model selection and the principle of minimum description length
MH Hansen, B Yu
Journal of the American Statistical Association 96 (454), 746-774, 2001
8902001
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
7142009
Internet tomography
A Coates, AO Hero III, R Nowak, B Yu
IEEE Signal processing magazine 19 (3), 47-65, 2002
7032002
Definitions, methods, and applications in interpretable machine learning
WJ Murdoch, C Singh, K Kumbier, R Abbasi-Asl, B Yu
Proceedings of the National Academy of Sciences 116 (44), 22071-22080, 2019
6432019
Network tomography: Recent developments
R Castro, M Coates, G Liang, R Nowak, B Yu
Statistical science 19 (3), 499-517, 2004
6172004
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
5822011
Restricted eigenvalue properties for correlated Gaussian designs
G Raskutti, MJ Wainwright, B Yu
The Journal of Machine Learning Research 11, 2241-2259, 2010
5132010
Boosting with early stopping: Convergence and consistency
T Zhang, B Yu
The Annals of Statistics 33 (4), 1538-1579, 2005
4852005
Metalearners for estimating heterogeneous treatment effects using machine learning
SR Künzel, JS Sekhon, PJ Bickel, B Yu
Proceedings of the national academy of sciences 116 (10), 4156-4165, 2019
4842019
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