Martin Wainwright

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley確認したメールアドレス: cs.berkeley.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford University確認したメールアドレス: stanford.edu
Bin YUProfessor of Statistics and EECS, UC Berkeley確認したメールアドレス: stat.berkeley.edu
Alan S. WillskyProfessor of EECS, MIT確認したメールアドレス: mit.edu
Sahand NegahbanAssociate Professor, Yale University確認したメールアドレス: yale.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon University確認したメールアドレス: cs.cmu.edu
Peter BartlettProfessor, EECS and Statistics, UC Berkeley確認したメールアドレス: cs.berkeley.edu
Alekh AgarwalGoogle確認したメールアドレス: google.com
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC Berkeley確認したメールアドレス: eecs.berkeley.edu
Eero P SimoncelliProfessor of Neural Science, Mathematics, Data Science, Psychology @ NYU.確認したメールアドレス: nyu.edu
XuanLong NguyenUniversity of Michigan確認したメールアドレス: umich.edu
Alexandros G DimakisProfessor, ECE University of Texas at Austin確認したメールアドレス: austin.utexas.edu
Yuchen ZhangResearch Scientist at ByteDance確認したメールアドレス: microsoft.com
Tommi JaakkolaMIT確認したメールアドレス: csail.mit.edu
Ashwin PananjadyGeorgia Institute of Technology確認したメールアドレス: gatech.edu
Sivaraman BalakrishnanCarnegie Mellon University確認したメールアドレス: stat.cmu.edu
Zhengya ZhangProfessor of Electrical Engineering and Computer Science, University of Michigan, Ann確認したメールアドレス: eecs.umich.edu
Wenlong MouUniversity of Toronto確認したメールアドレス: utoronto.ca
Borivoje NikolicUniversity of California Berkeley確認したメールアドレス: berkeley.edu
Nihar B. ShahML and CS departments, Carnegie Mellon University確認したメールアドレス: cs.cmu.edu

フォロー

Martin Wainwright

Professor, EECS/Mathematics, Massachusetts Institute of Technology

確認したメールアドレス: mit.edu - ホームページ

Statistics machine learning optimization information theory artificial intelligence


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	5642	2008
Statistical learning with sparsity T Hastie, R Tibshirani, M Wainwright Monographs on statistics and applied probability 143 (143), 8, 2015	4207	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	3073	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	1593	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	1371	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	1202	2010
High-dimensional covariance estimation by minimizing ℓ₁-penalized log-determinant divergence P Ravikumar, MJ Wainwright, G Raskutti, B Yu	1077	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	906	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	813	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	715	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	694	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	681	2011
Communication-efficient algorithms for statistical optimization Y Zhang, MJ Wainwright, JC Duchi Advances in neural information processing systems 25, 2012	663	2012

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