Martin Wainwright

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyE-mail confirmado em cs.berkeley.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityE-mail confirmado em stanford.edu
Bin YUProfessor of Statistics and EECS, UC BerkeleyE-mail confirmado em stat.berkeley.edu
Alan S. WillskyProfessor of EECS, MITE-mail confirmado em mit.edu
Sahand NegahbanAssociate Professor, Yale UniversityE-mail confirmado em yale.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityE-mail confirmado em cs.cmu.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyE-mail confirmado em cs.berkeley.edu
Alekh AgarwalGoogleE-mail confirmado em google.com
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyE-mail confirmado em eecs.berkeley.edu
Eero P SimoncelliProfessor of Neural Science, Mathematics, Data Science, Psychology @ NYU.E-mail confirmado em nyu.edu
XuanLong NguyenUniversity of MichiganE-mail confirmado em umich.edu
Alexandros G DimakisProfessor, ECE University of Texas at AustinE-mail confirmado em austin.utexas.edu
Yuchen ZhangResearch Scientist at ByteDanceE-mail confirmado em microsoft.com
Tommi JaakkolaMITE-mail confirmado em csail.mit.edu
Ashwin PananjadyGeorgia Institute of TechnologyE-mail confirmado em gatech.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityE-mail confirmado em stat.cmu.edu
Wenlong MouUniversity of TorontoE-mail confirmado em utoronto.ca
Borivoje NikolicUniversity of California BerkeleyE-mail confirmado em berkeley.edu
Nihar B. ShahML and CS departments, Carnegie Mellon UniversityE-mail confirmado em cs.cmu.edu
Koulik KhamaruAssistant Professor, Department Of Statistics, Rutgers.E-mail confirmado em berkeley.edu

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Martin Wainwright

Professor, EECS/Mathematics, Massachusetts Institute of Technology

E-mail confirmado em mit.edu - Página inicial

Statistics machine learning optimization information theory artificial intelligence


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	5623	2008
Statistical learning with sparsity T Hastie, R Tibshirani, M Wainwright Monographs on statistics and applied probability 143 (143), 8, 2015	4181	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	3046	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	1590	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	1356	2013
A Unified Framework for High-Dimensional Analysis of -Estimators with Decomposable Regularizers SN Negahban, P Ravikumar, MJ Wainwright, B Yu	1266	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	820	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	797	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	681	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	655	2012

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