Bin YU

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Peter BühlmannProfessor of Statistics and Mathematics, ETH ZurichVerified email at stat.math.ethz.ch
martin vetterliProfessor of computer and communication science, Ecole Polytechnique Federale LausanneVerified email at epfl.ch
S. Grace ChangVerified email at alum.mit.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
peter bickelProfessor of Statistics, UC BerkeleyVerified email at stat.berkeley.edu
Guilherme RochaEli Lilly and CompanyVerified email at lilly.com
Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data ScienceVerified email at wisc.edu
Karl RoheProfessor of Statistics, UW MadisonVerified email at stat.wisc.edu
Mark CoatesProfessor of Electrical Engineering, McGill UniversityVerified email at ece.mcgill.ca
Rebecka JörnstenProfessor of Biostatistics and Applied Statistics, University of Gothenburg, ChalmersVerified email at chalmers.se
Thomas NaselarisAssociate Professor, Department of Neuroscience, University of MinnesotaVerified email at umn.edu
Nicolai MeinshausenProfessor of Statistics, ETH ZurichVerified email at stat.math.ethz.ch
Sahand NegahbanAssociate Professor, Yale UniversityVerified email at yale.edu
Andrew R BarronProfessor of Statistics, Yale UniversityVerified email at yale.edu
Peng GongThe University of Hong Kong，http://orcid.org/0000-0003-1513-3765Verified email at hku.hk
Julien MairalInria - Univ. Grenoble AlpesVerified email at inria.fr
Vincent Q. VuAssociate Professor of Statistics, The Ohio State UniversityVerified email at stat.osu.edu
Per MyklandRobert M. Hutchins Professor of Statistics and Finance, The University of ChicagoVerified email at pascal.uchicago.edu
Gerald SchullerProfessor of Media Technology, Ilmenau University of TechnologyVerified email at tu-ilmenau.de
Rui CastroEindhoven University of TechnologyVerified email at tue.nl

Bin YU

Professor of Statistics and EECS, UC Berkeley

Verified email at stat.berkeley.edu - Homepage

Statistics Machine Learning Neuroscience Genomics Remote Sensing


Title Sort by citations Sort by year Sort by 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	4353	2000
On model selection consistency of Lasso P Zhao, B Yu The Journal of Machine Learning Research 7, 2541-2563, 2006	3485	2006
A Unified Framework for High-Dimensional Analysis of -Estimators with Decomposable Regularizers SN Negahban, P Ravikumar, MJ Wainwright, B Yu	1603	2012
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	1510	2000
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	1463	2019
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	1439	1998
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	1229	2019
Boosting With the L₂ Loss: Regression and Classification P Bühlmann, B Yu Journal of the American Statistical Association 98 (462), 324-339, 2003	1225	2003
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	1208	2011
Analyzing bagging P Bühlmann, B Yu The annals of Statistics 30 (4), 927-961, 2002	1120	2002
Spectral clustering and the high-dimensional stochastic blockmodel K Rohe, S Chatterjee, B Yu	1108	2011
Lasso-type recovery of sparse representations for high-dimensional data N Meinshausen, B Yu	1059	2009
High-dimensional covariance estimation by minimizing ℓ₁-penalized log-determinant divergence P Ravikumar, MJ Wainwright, G Raskutti, B Yu	1056	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	955	2001
The composite absolute penalties family for grouped and hierarchical variable selection P Zhao, G Rocha, B Yu	764	2009
Internet tomography A Coates, AO Hero III, R Nowak, B Yu IEEE Signal processing magazine 19 (3), 47-65, 2002	706	2002
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	683	2011
Network tomography: Recent developments R Castro, M Coates, G Liang, R Nowak, B Yu	658	2004
Restricted eigenvalue properties for correlated Gaussian designs G Raskutti, MJ Wainwright, B Yu The Journal of Machine Learning Research 11, 2241-2259, 2010	607	2010
Statistical guarantees for the EM algorithm: From population to sample-based analysis S Balakrishnan, MJ Wainwright, B Yu	597	2017

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