Martin Wainwright

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityAdresse e-mail validée de stanford.edu
Bin YUProfessor of Statistics and EECS, UC BerkeleyAdresse e-mail validée de stat.berkeley.edu
Alan S. WillskyProfessor of EECS, MITAdresse e-mail validée de mit.edu
Sahand NegahbanAssociate Professor, Yale UniversityAdresse e-mail validée de yale.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Alekh AgarwalGoogleAdresse e-mail validée de google.com
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Eero P SimoncelliProfessor of Neural Science, Mathematics, Data Science, Psychology @ NYU.Adresse e-mail validée de nyu.edu
XuanLong NguyenUniversity of MichiganAdresse e-mail validée de umich.edu
Alexandros G DimakisProfessor, ECE University of Texas at AustinAdresse e-mail validée de austin.utexas.edu
Yuchen ZhangResearch Scientist at ByteDanceAdresse e-mail validée de microsoft.com
Tommi JaakkolaMITAdresse e-mail validée de csail.mit.edu
Ashwin PananjadyGeorgia Institute of TechnologyAdresse e-mail validée de gatech.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityAdresse e-mail validée de stat.cmu.edu
Wenlong MouUniversity of TorontoAdresse e-mail validée de utoronto.ca
Borivoje NikolicUniversity of California BerkeleyAdresse e-mail validée de berkeley.edu
Nihar B. ShahML and CS departments, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Koulik KhamaruAssistant Professor, Department Of Statistics, Rutgers.Adresse e-mail validée de berkeley.edu

Suivre

Martin Wainwright

Professor, EECS/Mathematics, Massachusetts Institute of Technology

Adresse e-mail validée de mit.edu - Page d'accueil

Statistics machine learning optimization information theory artificial intelligence


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	5638	2008
Statistical learning with sparsity T Hastie, R Tibshirani, M Wainwright Monographs on statistics and applied probability 143 (143), 8, 2015	4202	2015
Image denoising using scale mixtures of Gaussians in the wavelet domain J Portilla, V Strela, MJ Wainwright, EP Simoncelli IEEE Transactions on Image processing 12 (11), 1338-1351, 2003	3178	2003
High-dimensional statistics: A non-asymptotic viewpoint MJ Wainwright Cambridge university press, 2019	3067	2019
Network coding for distributed storage systems AG Dimakis, PB Godfrey, Y Wu, MJ Wainwright, K Ramchandran IEEE transactions on information theory 56 (9), 4539-4551, 2010	2604	2010
Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using -Constrained Quadratic Programming (Lasso) MJ Wainwright IEEE transactions on information theory 55 (5), 2183-2202, 2009	1592	2009
Dual averaging for distributed optimization: Convergence analysis and network scaling JC Duchi, A Agarwal, MJ Wainwright IEEE Transactions on Automatic control 57 (3), 592-606, 2011	1425	2011
Local privacy and statistical minimax rates JC Duchi, MI Jordan, MJ Wainwright 2013 IEEE 54th annual symposium on foundations of computer science, 429-438, 2013	1367	2013
A Unified Framework for High-Dimensional Analysis of -Estimators with Decomposable Regularizers SN Negahban, P Ravikumar, MJ Wainwright, B Yu	1270	2012
High-dimensional Ising model selection using ℓ₁-regularized logistic regression P Ravikumar, MJ Wainwright, JD Lafferty	1201	2010
High-dimensional covariance estimation by minimizing ℓ₁-penalized log-determinant divergence P Ravikumar, MJ Wainwright, G Raskutti, B Yu	1076	2011
Estimating divergence functionals and the likelihood ratio by convex risk minimization XL Nguyen, MJ Wainwright, MI Jordan IEEE Transactions on Information Theory 56 (11), 5847-5861, 2010	903	2010
MAP estimation via agreement on trees: message-passing and linear programming MJ Wainwright, TS Jaakkola, AS Willsky IEEE transactions on information theory 51 (11), 3697-3717, 2005	819	2005
Hopskipjumpattack: A query-efficient decision-based attack J Chen, MI Jordan, MJ Wainwright 2020 ieee symposium on security and privacy (sp), 1277-1294, 2020	812	2020
Learning to explain: An information-theoretic perspective on model interpretation J Chen, L Song, M Wainwright, M Jordan International conference on machine learning, 883-892, 2018	714	2018
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	693	2011
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity PL Loh, MJ Wainwright Advances in neural information processing systems 24, 2011	686	2011
Scale mixtures of Gaussians and the statistics of natural images MJ Wainwright, E Simoncelli Advances in neural information processing systems 12, 1999	684	1999
Estimation of (near) low-rank matrices with noise and high-dimensional scaling S Negahban, MJ Wainwright	679	2011
Communication-efficient algorithms for statistical optimization Y Zhang, MJ Wainwright, JC Duchi Advances in neural information processing systems 25, 2012	661	2012

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