| Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008 | 4661 | 2008 |
| 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 | 3000 | 2003 |
| Statistical learning with sparsity T Hastie, R Tibshirani, M Wainwright Monographs on statistics and applied probability 143, 143, 2015 | 2755 | 2015 |
| 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 | 2324 | 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 | 1403 | 2009 |
| High-dimensional statistics: A non-asymptotic viewpoint MJ Wainwright Cambridge University Press, 2019 | 1334 | 2019 |
| 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 | 1304 | 2012 |
| 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 | 1146 | 2011 |
| 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 | 1026 | 2010 |
| 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 | 880 | 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 | 874 | 2013 |
| 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 | 776 | 2005 |
| Scale mixtures of Gaussians and the statistics of natural images MJ Wainwright, E Simoncelli Advances in neural information processing systems 12, 1999 | 618 | 1999 |
| 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 | 591 | 2010 |
| Using linear programming to decode binary linear codes J Feldman, MJ Wainwright, DR Karger IEEE Transactions on Information Theory 51 (3), 954-972, 2005 | 552 | 2005 |
| 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 | 551 | 2011 |
| 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 | 538 | 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 | 518 | 2011 |
| A new class of upper bounds on the log partition function MJ Wainwright, TS Jaakkola, AS Willsky IEEE Transactions on Information Theory 51 (7), 2313-2335, 2005 | 499 | 2005 |
| 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 | 489 | 2012 |
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeleycs.berkeley.edu의 이메일 확인됨
