Martin Wainwright

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyEmail verificata su cs.berkeley.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityEmail verificata su stanford.edu
Bin YUProfessor of Statistics and EECS, UC BerkeleyEmail verificata su stat.berkeley.edu
Alan S. WillskyProfessor of EECS, MITEmail verificata su mit.edu
Sahand NegahbanAssociate Professor, Yale UniversityEmail verificata su yale.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyEmail verificata su cs.berkeley.edu
Alekh AgarwalGoogleEmail verificata su google.com
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyEmail verificata su eecs.berkeley.edu
Eero P SimoncelliProfessor of Neural Science, Mathematics, Data Science, Psychology @ NYU.Email verificata su nyu.edu
XuanLong NguyenUniversity of MichiganEmail verificata su umich.edu
Alexandros G DimakisProfessor, ECE University of Texas at AustinEmail verificata su austin.utexas.edu
Yuchen ZhangResearch Scientist at ByteDanceEmail verificata su microsoft.com
Tommi JaakkolaMITEmail verificata su csail.mit.edu
Ashwin PananjadyGeorgia Institute of TechnologyEmail verificata su gatech.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityEmail verificata su stat.cmu.edu
Wenlong MouUniversity of TorontoEmail verificata su utoronto.ca
Borivoje NikolicUniversity of California BerkeleyEmail verificata su berkeley.edu
Nihar B. ShahML and CS departments, Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
Koulik KhamaruAssistant Professor, Department Of Statistics, Rutgers.Email verificata su berkeley.edu

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Martin Wainwright

Professor, EECS/Mathematics, Massachusetts Institute of Technology

Email verificata su mit.edu - Home page

Statistics machine learning optimization information theory artificial intelligence


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	5619	2008
Statistical learning with sparsity T Hastie, R Tibshirani, M Wainwright Monographs on statistics and applied probability 143 (143), 8, 2015	4175	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	3176	2003
High-dimensional statistics: A non-asymptotic viewpoint MJ Wainwright Cambridge university press, 2019	3039	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	2602	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	1589	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	1421	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	1355	2013
A Unified Framework for High-Dimensional Analysis of -Estimators with Decomposable Regularizers SN Negahban, P Ravikumar, MJ Wainwright, B Yu	1265	2012
High-dimensional Ising model selection using ℓ₁-regularized logistic regression P Ravikumar, MJ Wainwright, JD Lafferty	1200	2010
High-dimensional covariance estimation by minimizing ℓ₁-penalized log-determinant divergence P Ravikumar, MJ Wainwright, G Raskutti, B Yu	1067	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	901	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	796	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	706	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	689	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	683	2011
Scale mixtures of Gaussians and the statistics of natural images MJ Wainwright, E Simoncelli Advances in neural information processing systems 12, 1999	680	1999
Estimation of (near) low-rank matrices with noise and high-dimensional scaling S Negahban, MJ Wainwright	678	2011
Communication-efficient algorithms for statistical optimization Y Zhang, MJ Wainwright, JC Duchi Advances in neural information processing systems 25, 2012	654	2012

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