-
3
-
-
33947115409
-
Model selection and estimation in the Gaussian graphical model
-
M. Yuan and Y. Lin. Model selection and estimation in the Gaussian graphical model. Biometrika, 94(10):19-35, 2007.
-
(2007)
Biometrika
, vol.94
, Issue.10
, pp. 19-35
-
-
Yuan, M.1
Lin, Y.2
-
4
-
-
45849134070
-
Sparse inverse covariance estimation with the graphical lasso
-
J. Friedman, T. Hastie, and R. Tibshirani. Sparse inverse covariance estimation with the graphical lasso. Biostatistics, 9:432-441, 2007.
-
(2007)
Biostatistics
, vol.9
, pp. 432-441
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
5
-
-
41549101939
-
Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data
-
O. Banerjee, L. E. El Ghaoui, and A. d'Aspremont. Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data. JMLR, 9:485-516, 2008.
-
(2008)
JMLR
, vol.9
, pp. 485-516
-
-
Banerjee, O.1
El Ghaoui, L.E.2
D'Aspremont, A.3
-
6
-
-
83455181601
-
New insights and faster computations for the graphical lasso
-
D.M. Witten, J.H. Friedman, and N. Simon. New insights and faster computations for the graphical lasso. Journal of Computational and Graphical Statistics, 20(4):892-900, 2011.
-
(2011)
Journal of Computational and Graphical Statistics
, vol.20
, Issue.4
, pp. 892-900
-
-
Witten, D.M.1
Friedman, J.H.2
Simon, N.3
-
8
-
-
81855189799
-
Model selection in Gaussian graphical models: High-dimensional consistency of l1-regularized MLE
-
P. Ravikumar, M.J. Wainwright, G. Raskutti, and B. Yu. Model selection in gaussian graphical models: high-dimensional consistency of l1-regularized MLE. Advances in NIPS, 2008.
-
(2008)
Advances in NIPS
-
-
Ravikumar, P.1
Wainwright, M.J.2
Raskutti, G.3
Yu, B.4
-
11
-
-
61849097176
-
First-order methods for sparse covariance selection
-
A. D'Aspremont, O. Banerjee, and L. El Ghaoui. First-order methods for sparse covariance selection. SIAM Journal on Matrix Analysis and Applications, 30(1):56-66, 2008.
-
(2008)
SIAM Journal on Matrix Analysis and Applications
, vol.30
, Issue.1
, pp. 56-66
-
-
D'Aspremont, A.1
Banerjee, O.2
El Ghaoui, L.3
-
12
-
-
79952164560
-
Joint estimation of multiple graphical models
-
J. Guo, E. Levina, G. Michailidis, and J. Zhu. Joint estimation of multiple graphical models. Biometrika, 98(1):1-15, 2011.
-
(2011)
Biometrika
, vol.98
, Issue.1
, pp. 1-15
-
-
Guo, J.1
Levina, E.2
Michailidis, G.3
Zhu, J.4
-
14
-
-
12844266177
-
Sparsity and smoothness via the fused lasso
-
R. Tibshirani, M. Saunders, S. Rosset, J. Zhu, and K. Knight. Sparsity and smoothness via the fused lasso. Journal of the Royal Statistical Society, Series B, 67:91-108, 2005.
-
(2005)
Journal of the Royal Statistical Society, Series B
, vol.67
, pp. 91-108
-
-
Tibshirani, R.1
Saunders, M.2
Rosset, S.3
Zhu, J.4
Knight, K.5
-
18
-
-
84877790274
-
-
version 1.21 October
-
M. Grant and S. Boyd. cvx version 1.21. "http://cvxr.com/cvx", October 2010.
-
(2010)
Cvx
-
-
Grant, M.1
Boyd, S.2
-
20
-
-
80053139009
-
Smoothing proximal gradient method for general structured sparse learning
-
X. Chen, Q. Lin, S. Kim, J.G. Carbonell, and E.P. Xing. Smoothing proximal gradient method for general structured sparse learning. Proceedings of the conference on Uncertainty in Artificial Intelligence, 2011.
-
(2011)
Proceedings of the Conference on Uncertainty in Artificial Intelligence
-
-
Chen, X.1
Lin, Q.2
Kim, S.3
Carbonell, J.G.4
Xing, E.P.5
-
21
-
-
85161965237
-
A primal-dual algorithm for group sparse regularization with overlapping groups
-
S. Mosci, S. Villa, A. Verri, and L. Rosasco. A primal-dual algorithm for group sparse regularization with overlapping groups. Neural Information Processing Systems, pages 2604 - 2612, 2010.
-
(2010)
Neural Information Processing Systems
, pp. 2604-2612
-
-
Mosci, S.1
Villa, S.2
Verri, A.3
Rosasco, L.4
-
22
-
-
80051762104
-
Distributed optimization and statistical learning via the alternating direction method of multipliers
-
S.P. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein. Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in ML, 3(1):1-122, 2010.
-
(2010)
Foundations and Trends in ML
, vol.3
, Issue.1
, pp. 1-122
-
-
Boyd, S.P.1
Parikh, N.2
Chu, E.3
Peleato, B.4
Eckstein, J.5
-
24
-
-
84865692854
-
Alternating direction method with Gaussian back substitution for separable convex programming
-
B. He, M. Tao, and X. Yuan. Alternating direction method with gaussian back substitution for separable convex programming. SIAM Journal of Optimization, pages 313 - 340, 2012.
-
(2012)
SIAM Journal of Optimization
, pp. 313-340
-
-
He, B.1
Tao, M.2
Yuan, X.3
-
25
-
-
75249102673
-
Efficient online and batch learning using forward backward splitting
-
J. Duchi and Y. Singer. Efficient online and batch learning using forward backward splitting. Journal of Machine Learning Research, pages 2899 - 2934, 2009.
-
(2009)
Journal of Machine Learning Research
, pp. 2899-2934
-
-
Duchi, J.1
Singer, Y.2
-
26
-
-
73649123907
-
Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1
-
Verhaak et al. Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. Cancer Cell, 17(1):98-110, 2010.
-
(2010)
Cancer Cell
, vol.17
, Issue.1
, pp. 98-110
-
-
Verhaak1
-
27
-
-
51449092872
-
Chemokine CXCL13 is overexpressed in the tumour tissue and in the peripheral blood of breast cancer patients
-
Grosso et al. Chemokine CXCL13 is overexpressed in the tumour tissue and in the peripheral blood of breast cancer patients. British Journal Cancer, 99(6):930-938, 2008.
-
(2008)
British Journal Cancer
, vol.99
, Issue.6
, pp. 930-938
-
-
Grosso1
-
28
-
-
84877764890
-
CXCL13-CXCR5 interactions support prostate cancer cell migration and invasion in a PI3K p110-, SRC- and FAK-dependent fashion
-
El-Haibi et al. CXCL13-CXCR5 interactions support prostate cancer cell migration and invasion in a PI3K p110-, SRC- and FAK-dependent fashion. The Journal of Immunology, 15(19):5968-73, 2009.
-
(2009)
The Journal of Immunology
, vol.15
, Issue.19
, pp. 5968-5973
-
-
El-Haibi1
|