-
3
-
-
27844439373
-
A framework for learning predictive structures from multiple tasks and unlabeled data
-
Mr2249873
-
ando, R. K. and Zhang, T. (2005). A Framework for Learning Predictive Structures From Multiple Tasks and Unlabeled Data. J. Mach. Learn. Res. 6 1817-1853. Mr2249873
-
(2005)
J. Mach. Learn. Res.
, vol.6
, pp. 1817-1853
-
-
Ando, R.K.1
Zhang, T.2
-
5
-
-
84904535905
-
Domain adaptation with structural correspondence learning
-
Sydney, Australia
-
Blitzer, J., Mcdonald, R. and Pereira, F. (2006). Domain Adaptation with Structural Correspondence Learning. in Emnlp Conference, Sydney, Australia.
-
(2006)
Emnlp Conference
-
-
Blitzer, J.1
Mcdonald, R.2
Pereira, F.3
-
7
-
-
79960675858
-
Robust principal component analysis?
-
Mr2811000
-
Candès, E. J., Li, X.,Ma, Y. andwright, J. (2011). Robust Principal Component Analysis? J. Acm 58 Art. 11, 37. Mr2811000
-
(2011)
J. Acm 58 Art.
, Issue.11
, pp. 37
-
-
Candès, E.J.1
Li, X.2
Ma, Y.3
Wright, J.4
-
9
-
-
79960591511
-
Ranksparsity incoherence for matrix decomposition
-
Mr2817479
-
Chandrasekaran, V., Sanghavi, S., Parrilo, P. A. andwillsky, A. S. (2011). Ranksparsity incoherence for Matrix Decomposition. Siam J. Optim. 21 572-596. Mr2817479
-
(2011)
Siam J. Optim.
, Issue.21
, pp. 572-596
-
-
Chandrasekaran, V.1
Sanghavi, S.2
Parrilo, P.A.3
Willsky, A.4
-
11
-
-
81255189015
-
Robust matrix decomposition with sparse corruptions
-
Mr2883652
-
Hsu, D., Kakade, S. M. and Zhang, T. (2011). Robust Matrix Decomposition with Sparse Corruptions. Ieee Trans. inform. Theory 57 7221-7234. Mr2883652
-
(2011)
Ieee Trans. inform. Theory
, vol.57
, pp. 7221-7234
-
-
Hsu, D.1
Kakade, S.M.2
Zhang, T.3
-
12
-
-
0035641726
-
On the distribution of the largest eigenvalue in principal components analysis
-
Mr1863961
-
Johnstone, I. M. (2001). on The Distribution of The Largest Eigenvalue in Principal Components Analysis. Ann. Statist. 29 295-327. Mr1863961
-
(2001)
Ann. Statist.
, vol.29
, pp. 295-327
-
-
Johnstone, I.M.1
-
13
-
-
84859831899
-
Two proposals for robust pca using semidefinite programming
-
Mr2836771
-
Mccoy, M. and Tropp, J. A. (2011). Two Proposals for Robust Pca Using Semidefinite Programming. Electron. J. Stat. 5 1123-1160. Mr2836771
-
(2011)
Electron. J. Stat.
, Issue.5
, pp. 1123-1160
-
-
Mccoy, M.1
Tropp, J.A.2
-
14
-
-
84872043843
-
A unified framework for high-dimensional analysis of m-estimators with decomposable regularizers
-
Vancouver, Canada, December 2009. Full Length Version Available At Arxiv:1010.2731V1. Statist. Sci. to Appear
-
Negahban, S., Ravikumar, P.,Wainwright, M. J. and Yu, B. (2009). A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers. in Nips Conference, Vancouver, Canada, December 2009. Full Length Version Available At Arxiv:1010.2731V1. Statist. Sci. to Appear.
-
(2009)
Nips Conference
-
-
Negahban, S.1
Ravikumar, P.2
Wainwright, M.J.3
Yu, B.4
-
15
-
-
79952934740
-
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
-
Mr2816348
-
Negahban, S. andwainwright, M. J. (2011). Estimation of (Near) Low-Rank Matrices with Noise and High-Dimensional Scaling. Ann. Statist. 39 1069-1097. Mr2816348
-
(2011)
Ann. Statist.
, vol.39
, pp. 1069-1097
-
-
Negahban, S.1
Wainwright, M.2
-
16
-
-
84862020232
-
Restricted strong convexity and (weighted) matrix completion: Optimal bounds with noise
-
Negahban, S. andwainwright, M. J. (2012). Restricted Strong Convexity and (Weighted) Matrix Completion: Optimal Bounds with Noise. J. Mach. Learn. Res. 13 1665-1697.
-
(2012)
J. Mach. Learn. Res.
, Issue.13
, pp. 1665-1697
-
-
Negahban, S.1
Wainwright, M.2
-
17
-
-
80053974183
-
Minimax rates of estimation for high-dimensional linear regression over q -balls
-
Mr2882274
-
Raskutti, G., Wainwright, M. J. and Yu, B. (2011). Minimax Rates of Estimation for High-Dimensional Linear Regression Over Q -Balls. Ieee Trans. inform. Theory 57 6976- 6994. Mr2882274
-
(2011)
Ieee Trans. inform. Theory
, vol.57
, pp. 6976-6994
-
-
Raskutti, G.1
Wainwright, M.J.2
Yu, B.3
-
18
-
-
78549288866
-
Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization
-
Mr2680543
-
Recht, B., Fazel, M. and Parrilo, P. A. (2010). Guaranteed Minimum-Rank Solutions of Linear Matrix Equations Via Nuclear Norm Minimization. Siam Rev. 52 471-501. Mr2680543
-
(2010)
Siam Rev.
, vol.52
, pp. 471-501
-
-
Recht, B.1
Fazel, M.2
Parrilo, P.A.3
-
19
-
-
0003346020
-
Convex analysis
-
Princeton Univ. Press, Princeton, Nj. Mr0274683
-
Rockafellar, R. T. (1970). Convex Analysis. Princeton Mathematical Series 28. Princeton Univ. Press, Princeton, Nj. Mr0274683
-
(1970)
Princeton Mathematical Series
, vol.28
-
-
Rockafellar, R.T.1
-
20
-
-
79952902758
-
Estimation of high-dimensional low-rank matrices
-
Mr2816342
-
Rohde, A. and Tsybakov, A. B. (2011). Estimation of High-Dimensional Low-Rank Matrices. Ann. Statist. 39 887-930. Mr2816342
-
(2011)
Ann. Statist.
, vol.39
, pp. 887-930
-
-
Rohde, A.1
Tsybakov, A.B.2
-
21
-
-
80053448775
-
-
Technical Report, Univ. Texas, Austin. Available At Arxiv: 1010.4237
-
Xu, H., Caramanis, C. and Sanghavi, S. (2010). Robust Pca Via Outlier Pursuit. Technical Report, Univ. Texas, Austin. Available At Arxiv:1010.4237.
-
(2010)
Robust Pca Via Outlier Pursuit
-
-
Xu, H.1
Caramanis, C.2
Sanghavi, S.3
-
22
-
-
34249004618
-
Dimension reduction and coefficient estimation in multivariate linear regression
-
Mr2323756
-
Yuan, M., Ekici, A., Lu, Z. and Monteiro, R. (2007). Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression. J. R. Stat. Soc. Ser. B Stat. Methodol. 69 329-346. Mr2323756
-
(2007)
J. R. Stat. Soc. Ser. B Stat. Methodol.
, vol.69
, pp. 329-346
-
-
Yuan, M.1
Ekici, A.2
Lu, Z.3
Monteiro, R.4
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