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Martin Wainwright
Martin Wainwright
Professor of EECS and Statistics, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Graphical models, exponential families, and variational inference
MJ Wainwright, MI Jordan
Foundations and TrendsŪ in Machine Learning 1 (1–2), 1-305, 2008
48682008
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
30412003
Statistical learning with sparsity
T Hastie, R Tibshirani, M Wainwright
Monographs on statistics and applied probability 143, 143, 2015
30332015
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
23772010
High-dimensional statistics: A non-asymptotic viewpoint
MJ Wainwright
Cambridge University Press, 2019
15962019
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
14402009
A Unified Framework for High-Dimensional Analysis of -Estimators with Decomposable Regularizers
SN Negahban, P Ravikumar, MJ Wainwright, B Yu
Statistical science 27 (4), 538-557, 2012
13742012
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
12122011
High-dimensional Ising model selection using ℓ1-regularized logistic regression
P Ravikumar, MJ Wainwright, JD Lafferty
The Annals of Statistics 38 (3), 1287-1319, 2010
10612010
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
9712013
High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence
P Ravikumar, MJ Wainwright, G Raskutti, B Yu
Electronic Journal of Statistics 5, 935-980, 2011
9212011
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
7832005
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
6372010
Scale mixtures of Gaussians and the statistics of natural images
MJ Wainwright, E Simoncelli
Advances in neural information processing systems 12, 1999
6361999
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
5832011
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
S Negahban, MJ Wainwright
The Annals of Statistics 39 (2), 1069-1097, 2011
5712011
Using linear programming to decode binary linear codes
J Feldman, MJ Wainwright, DR Karger
IEEE Transactions on Information Theory 51 (3), 954-972, 2005
5632005
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
5592011
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
S Negahban, MJ Wainwright
The Journal of Machine Learning Research 13 (1), 1665-1697, 2012
5232012
Restricted eigenvalue properties for correlated Gaussian designs
G Raskutti, MJ Wainwright, B Yu
The Journal of Machine Learning Research 11, 2241-2259, 2010
5172010
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