Martin Wainwright

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityDirección de correo verificada de stanford.edu
Bin YUProfessor of Statistics and EECS, UC BerkeleyDirección de correo verificada de stat.berkeley.edu
Alan S. WillskyProfessor of EECS, MITDirección de correo verificada de mit.edu
Sahand NegahbanAssociate Professor, Yale UniversityDirección de correo verificada de yale.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Alekh AgarwalGoogleDirección de correo verificada de google.com
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyDirección de correo verificada de eecs.berkeley.edu
Eero P SimoncelliProfessor of Neural Science, Mathematics, Data Science, Psychology @ NYU.Dirección de correo verificada de nyu.edu
XuanLong NguyenUniversity of MichiganDirección de correo verificada de umich.edu
Alexandros G DimakisProfessor, ECE University of Texas at AustinDirección de correo verificada de austin.utexas.edu
Yuchen ZhangResearch Scientist at ByteDanceDirección de correo verificada de microsoft.com
Tommi JaakkolaMITDirección de correo verificada de csail.mit.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityDirección de correo verificada de stat.cmu.edu
Wenlong MouUniversity of TorontoDirección de correo verificada de utoronto.ca
Zhengya ZhangProfessor of Electrical Engineering and Computer Science, University of Michigan, AnnDirección de correo verificada de eecs.umich.edu
Borivoje NikolicUniversity of California BerkeleyDirección de correo verificada de berkeley.edu
Nihar B. ShahML and CS departments, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Koulik KhamaruAssistant Professor, Department Of Statistics, Rutgers.Dirección de correo verificada de berkeley.edu

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Martin Wainwright

Professor, EECS/Mathematics, Massachusetts Institute of Technology

Dirección de correo verificada de mit.edu - Página principal

Statistics machine learning optimization information theory artificial intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	5694	2008
Statistical learning with sparsity T Hastie, R Tibshirani, M Wainwright Monographs on statistics and applied probability 143 (143), 8, 2015	4298	2015
High-dimensional statistics: A non-asymptotic viewpoint MJ Wainwright Cambridge university press, 2019	3205	2019
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	3191	2003
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	2620	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	1601	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	1445	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	1411	2013
A Unified Framework for High-Dimensional Analysis of -Estimators with Decomposable Regularizers SN Negahban, P Ravikumar, MJ Wainwright, B Yu	1278	2012
High-dimensional Ising model selection using ℓ₁-regularized logistic regression P Ravikumar, MJ Wainwright, JD Lafferty	1215	2010
High-dimensional covariance estimation by minimizing ℓ₁-penalized log-determinant divergence P Ravikumar, MJ Wainwright, G Raskutti, B Yu	1089	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	926	2010
Hopskipjumpattack: A query-efficient decision-based attack J Chen, MI Jordan, MJ Wainwright 2020 ieee symposium on security and privacy (sp), 1277-1294, 2020	843	2020
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	818	2005
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	738	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	701	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	700	2011
Estimation of (near) low-rank matrices with noise and high-dimensional scaling S Negahban, MJ Wainwright	687	2011
Scale mixtures of Gaussians and the statistics of natural images MJ Wainwright, E Simoncelli Advances in neural information processing systems 12, 1999	686	1999
Communication-efficient algorithms for statistical optimization Y Zhang, JC Duchi, MJ Wainwright The Journal of Machine Learning Research 14 (1), 3321-3363, 2013	677	2013

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