-
1
-
-
51849086132
-
Model selection through sparse maximum likelihood estimation
-
Banerjee, O., El Ghaoui, L., and d'Aspremont, A. Model selection through sparse maximum likelihood estimation. Machine Learning Research 101, 2007.
-
(2007)
Machine Learning Research
, vol.101
-
-
Banerjee, O.1
El Ghaoui, L.2
D'Aspremont, A.3
-
2
-
-
85014561619
-
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
-
Beck, A. and Teboulle, M. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM Journal of Imaging Sciences, 2(1): 183-202, 2009.
-
(2009)
SIAM Journal of Imaging Sciences
, vol.2
, Issue.1
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
3
-
-
84867120454
-
Incremental gradient, subgradient, and proximal methods for convex optimization: A survey
-
Bertsekas, D.P. Incremental gradient, subgradient, and proximal methods for convex optimization: a survey. Optimization for Machine Learning, pp. 85, 2011.
-
(2011)
Optimization for Machine Learning
, pp. 85
-
-
Bertsekas, D.P.1
-
4
-
-
84867129930
-
Sparse estimation of a covariance matrix
-
Bien, J. and Tibshirani, R. Sparse estimation of a covariance matrix. Biometrika, 2010.
-
(2010)
Biometrika
-
-
Bien, J.1
Tibshirani, R.2
-
5
-
-
0035023445
-
Predicting protein-protein interactions from primary structure
-
Bock, J.R. and Gough, D.A. Predicting protein-protein interactions from primary structure. Bioinformatics, 17(5):455-460, 2001.
-
(2001)
Bioinformatics
, vol.17
, Issue.5
, pp. 455-460
-
-
Bock, J.R.1
Gough, D.A.2
-
7
-
-
77954209955
-
-
Arxiv preprint ArXiv:0912.3599
-
Candes, E.J., Li, X., Ma, Y., and Wright, J. Robust principal component analysis? Arxiv preprint ArXiv:0912.3599, 2009.
-
(2009)
Robust Principal Component Analysis?
-
-
Candes, E.J.1
Li, X.2
Ma, Y.3
Wright, J.4
-
8
-
-
79960591511
-
Rank-sparsity incoherence for matrix decomposition
-
Chandrasekaran, V., Sanghavi, S., Parrilo, P.A., and Willsky, A.S. Rank-sparsity incoherence for matrix decomposition. SIAM J. Opt, 21:572-596, 2011.
-
(2011)
SIAM J. Opt
, vol.21
, pp. 572-596
-
-
Chandrasekaran, V.1
Sanghavi, S.2
Parrilo, P.A.3
Willsky, A.S.4
-
10
-
-
34548514458
-
A direct formulation for sparse pca using semidefinite programming
-
D'Aspremont, A., El Ghaoui, L., Jordan, M.I., and Lanckriet, G.R.G. A direct formulation for sparse pca using semidefinite programming. SIAM review, 49(3):434-448, 2007.
-
(2007)
SIAM Review
, vol.49
, Issue.3
, pp. 434-448
-
-
D'Aspremont, A.1
El Ghaoui, L.2
Jordan, M.I.3
Lanckriet, G.R.G.4
-
11
-
-
85035266139
-
Operator norm consistent estimation of large-dimensional sparse covariance matrices
-
El Karoui, N. Operator norm consistent estimation of large-dimensional sparse covariance matrices. Annals of Statistics, 2009.
-
(2009)
Annals of Statistics
-
-
El Karoui, N.1
-
12
-
-
45849134070
-
Sparse inverse covariance estimation with the graphical lasso
-
Friedman, J., Hastie, T., and Tibshirani, R. Sparse inverse covariance estimation with the graphical lasso. Biostatistics, 9(3):432, 2008.
-
(2008)
Biostatistics
, vol.9
, Issue.3
, pp. 432
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
14
-
-
84900510076
-
Non-negative Matrix Factorization with Sparseness Constraints
-
Hoyer, P. O. Non-negative Matrix Factorization with Sparseness Constraints. Journal of Machine Learning Research, 5:1457-1469, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 1457-1469
-
-
Hoyer, P.O.1
-
15
-
-
66049143558
-
Global functional atlas of escherichia coli encompassing previously uncharacterized proteins
-
Hu, P., Janga, S.C., Babu, M., Díaz-Mejía, J.J., Butland, G., Yang, W., Pogoutse, O., Guo, X., Phanse, S., Wong, P., et al. Global functional atlas of escherichia coli encompassing previously uncharacterized proteins. PLoS biology, 7(4):e1000096, 2009.
-
(2009)
PLoS Biology
, vol.7
, Issue.4
-
-
Hu, P.1
Janga, S.C.2
Babu, M.3
Díaz-Mejía, J.J.4
Butland, G.5
Yang, W.6
Pogoutse, O.7
Guo, X.8
Phanse, S.9
Wong, P.10
-
17
-
-
80053437868
-
Clustering partially observed graphs via convex optimization
-
Jalali, A.and Chen, Y., Sanghavi, S., and Xu, H. Clustering partially observed graphs via convex optimization. ICML '11, 2011.
-
ICML '11, 2011
-
-
Jalali, A.1
Chen, Y.2
Sanghavi, S.3
Xu, H.4
-
20
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
Lee, D.D., Seung, H.S., et al. Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755):788-791, 1999.
-
(1999)
Nature
, vol.401
, Issue.6755
, pp. 788-791
-
-
Lee, D.D.1
Seung, H.S.2
-
25
-
-
85162055543
-
Link discovery using graph feature tracking
-
Richard, E., Baskiotis, N., Evgeniou, Th., and Vayatis, N. Link discovery using graph feature tracking. Proceedings of Neural Information Processing Systems (NIPS), 2010.
-
Proceedings of Neural Information Processing Systems (NIPS), 2010
-
-
Richard, E.1
Baskiotis, N.2
Evgeniou, Th.3
Vayatis, N.4
-
27
-
-
84898932317
-
Maximum-margin matrix factorization
-
Srebro, N., Rennie, J., and Jaakkola, T. Maximum-margin matrix factorization. Advances in Neural Information Processing Systems, 17:1329-1336, 2005.
-
(2005)
Advances in Neural Information Processing Systems
, vol.17
, pp. 1329-1336
-
-
Srebro, N.1
Rennie, J.2
Jaakkola, T.3
-
31
-
-
29544445896
-
Sparse principal component analysis
-
Zou, H., Hastie, T., and Tibshirani, R. Sparse principal component analysis. Journal of Computational and Graphical Statistics, pp. 1-30, 2004.
-
(2004)
Journal of Computational and Graphical Statistics
, pp. 1-30
-
-
Zou, H.1
Hastie, T.2
Tibshirani, R.3
-
32
-
-
16244401458
-
Regularization and variable selection via the elastic net
-
Zou, Hui and Hastie, Trevor. Regularization and variable selection via the elastic net. Journal of the Royal Statistical Society, Series B, 67:301-320, 2005.
-
(2005)
Journal of the Royal Statistical Society, Series B
, vol.67
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
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