-
1
-
-
34547979771
-
Uncovering shared structures in multiclass classification
-
Amit, Y., Fink, M., Srebro, N., and Ullman, S. Uncovering shared structures in multiclass classification. In ICML, pp. 17-24, 2007.
-
(2007)
ICML
, pp. 17-24
-
-
Amit, Y.1
Fink, M.2
Srebro, N.3
Ullman, S.4
-
3
-
-
55149088329
-
Convex multi-task feature learning
-
Argyriou, A., Evgeniou, T., and Pontil, M. Convex multi-task feature learning. Machine Learning, 73:243-272, 2008.
-
(2008)
Machine Learning
, vol.73
, pp. 243-272
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
-
4
-
-
84867135292
-
Efficient and practical stochastic subgradient descent for nuclear norm regularization
-
Avron, H., Kale, S., Kasiviswanathan, S., and Sindhwani, V. Efficient and practical stochastic subgradient descent for nuclear norm regularization. In ICML, 2012.
-
(2012)
ICML
-
-
Avron, H.1
Kale, S.2
Kasiviswanathan, S.3
Sindhwani, V.4
-
5
-
-
84976855597
-
Algorithm 432: Solution of the matrix equation AX+ XB= C [F4]
-
ISSN
-
Bartels, RH and Stewart, GW. Algorithm 432: Solution of the matrix equation AX+ XB= C [F4]. Communications of the ACM, 15(9):820-826, 1972. ISSN 0001-0782.
-
(1972)
Communications of the ACM
, vol.15
, Issue.9
, pp. 820-826
-
-
Bartels, R.H.1
Stewart, G.W.2
-
6
-
-
0003713964
-
-
Athena Scientific, Belmont, MA, second edition
-
Bertsekas, Dimitri P. Nonlinear Programming. Athena Scientific, Belmont, MA 02178-9998, second edition, 1999.
-
(1999)
Nonlinear Programming
, pp. 02178-9998
-
-
Bertsekas, D.P.1
-
7
-
-
85162451485
-
Matrix completion for multi-label image classification
-
Cabrai, R. S., Torre, F., Costeira, J. P., and Bernardino, A. Matrix completion for multi-label image classification. In NIPS, pp. 190-198, 2011.
-
(2011)
NIPS
, pp. 190-198
-
-
Cabrai, R.S.1
Torre, F.2
Costeira, J.P.3
Bernardino, A.4
-
8
-
-
77951291046
-
A singular value thresholding algorithm for matrix completion
-
Cai, J. F., Candes, E. J., and Shen, Z. A singular value thresholding algorithm for matrix completion. SIAM J. Optimization, 20 (4):1956-1982, 2010.
-
(2010)
SIAM J. Optimization
, vol.20
, Issue.4
, pp. 1956-1982
-
-
Cai, J.F.1
Candes, E.J.2
Shen, Z.3
-
10
-
-
77951528523
-
The power of convex relaxation: Nearoptimal matrix completion
-
Candés, E. J. and Tao, T. The power of convex relaxation: Nearoptimal matrix completion. IEEE Trans. Inform. Theory, 56 (5):2053-2080, 2009.
-
(2009)
IEEE Trans. Inform. Theory
, vol.56
, Issue.5
, pp. 2053-2080
-
-
Candés, E.J.1
Tao, T.2
-
11
-
-
7044231546
-
An iterative thresh olding algorithm for linear inverse problems with a sparsity constraint
-
Daubechies, I., Défrise, M., and Mol, C. De. An iterative thresh olding algorithm for linear inverse problems with a sparsity constraint. Communications on pure and applied mathemat ics, 57(11):1413-1457, 2004.
-
(2004)
Communications on Pure and Applied Mathemat Ics
, vol.57
, Issue.11
, pp. 1413-1457
-
-
Daubechies, I.1
Défrise, M.2
De Mol, C.3
-
12
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Fei-Fei, L. ImageNet: A large-scale hierarchical image database. In CVPR, pp. 248-255, 2009.
-
(2009)
CVPR
, pp. 248-255
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
13
-
-
84883066586
-
The Yahoo. Music dataset and KDD-Cup'11
-
Dror, G., Koenigstein, N., Koren, Y., and Weimer, M. The Yahoo. music dataset and KDD-Cup'll. In JMLR Workshop and Conference Proceedings: Proceedings of KDD Cup 2011 Competition, volume 18, pp. 3-18, 2012.
-
(2012)
JMLR Workshop and Conference Proceedings: Proceedings of KDD Cup 2011 Competition
, vol.18
, pp. 3-18
-
-
Dror, G.1
Koenigstein, N.2
Koren, Y.3
Weimer, M.4
-
14
-
-
84866721491
-
Lifted coordinate de scent for learning with trace-norm regularization
-
Dudik, M., Harchaoui, Z., and Malick, J. Lifted coordinate de scent for learning with trace-norm regularization. In AISTATS, 2012.
-
(2012)
AISTATS
-
-
Dudik, M.1
Harchaoui, Z.2
Malick, J.3
-
17
-
-
79960425522
-
Finding structure with randomness: Probabilistic algorithms for constructing ap proximate matrix decompositions
-
Halko, N., Martinsson, P. G., and Tropp, J. A. Finding structure with randomness: Probabilistic algorithms for constructing ap proximate matrix decompositions. SIAM Rev, 53(2):217-288, 2011.
-
(2011)
SIAM Rev
, vol.53
, Issue.2
, pp. 217-288
-
-
Halko, N.1
Martinsson, P.G.2
Tropp, J.A.3
-
18
-
-
43049120013
-
Sparse approximate solutions to semidefinite programs
-
Hazan, E. Sparse approximate solutions to semidefinite programs. LATIN, pp. 306-316, 2008.
-
(2008)
LATIN
, pp. 306-316
-
-
Hazan, E.1
-
19
-
-
0001301897
-
Newtons method for the matrix square root
-
Higham, N. J. Newtons method for the matrix square root. Mathematics of Computation, 46(174):537-549, 1986.
-
(1986)
Mathematics of Computation
, vol.46
, Issue.174
, pp. 537-549
-
-
Higham, N.J.1
-
20
-
-
85162490550
-
Sparse inverse covariance matrix estimation using quadratic approximation
-
Hsieh, C.-J., Sustik, M. A., Dhillon, I. S., and Ravikumar, P. Sparse inverse covariance matrix estimation using quadratic approximation. In NIPS, 2011.
-
(2011)
NIPS
-
-
Hsieh, C.-J.1
Sustik, M.A.2
Dhillon, I.S.3
Ravikumar, P.4
-
21
-
-
84898981075
-
Big & Quic: Sparse inverse covariance estimation for a million variables
-
Hsieh, C.-J., Sustik, M. A., Dhillon, I. S., Ravikumar, P., and Poldrack, R. A. Big & Quic: Sparse inverse covariance estimation for a million variables. In NIPS, 2013.
-
(2013)
NIPS
-
-
Hsieh, C.-J.1
Sustik, M.A.2
Dhillon, I.S.3
Ravikumar, P.4
Poldrack, R.A.5
-
22
-
-
77956535889
-
A simple algorithm for nuclear norm regularized problems
-
Jaggi, M. and Sulovsky, M. A simple algorithm for nuclear norm regularized problems. In ICML, pp. 471-478, 2010.
-
(2010)
ICML
, pp. 471-478
-
-
Jaggi, M.1
Sulovsky, M.2
-
23
-
-
71149103464
-
An accelerated gradient method for trace norm minimization
-
Ji, S. and Ye, J. An accelerated gradient method for trace norm minimization. In ICML, pp. 329-336, 2009.
-
(2009)
ICML
, pp. 329-336
-
-
Ji, S.1
Ye, J.2
-
24
-
-
85008044987
-
Matrix factorization techniques for recommender systems
-
Koren, Y., Bell, R. M, and Volinsky, C. Matrix factorization techniques for recommender systems. IEEE Computer, 42:30-37, 2009.
-
(2009)
IEEE Computer
, vol.42
, pp. 30-37
-
-
Koren, Y.1
Bell, R.M.2
Volinsky, C.3
-
25
-
-
0032216896
-
Relative Perturbation Theory: II. Eigenspace and Sin gular subspace Variations
-
Li, R.-C. Relative Perturbation Theory: II. Eigenspace and Sin gular subspace Variations. SIAM Journal on Matrix Analysis and Applications, 20(2)471-492, 1998.
-
(1998)
SIAM Journal on Matrix Analysis and Applications
, vol.20
, Issue.2
, pp. 471-492
-
-
Li R. .-, C.1
-
26
-
-
77956944781
-
Spectral regulariza tion algorithms for learning large incomplete matrices
-
Mazumder, R., Hastie, T., and Tibshirani, R. Spectral regulariza tion algorithms for learning large incomplete matrices. JMLR, 11:2287-2322, 2010.
-
(2010)
JMLR
, vol.11
, pp. 2287-2322
-
-
Mazumder, R.1
Hastie, T.2
Tibshirani, R.3
-
27
-
-
84877752985
-
-
arxiv: 1112.2318
-
Mishra, B., Meyer, G., Bach, F., and Sepulchre, R. Low-rank optimization with trace norm penalty, arxiv: 1112.2318, 2013.
-
(2013)
Low-rank Optimization with Trace Norm Penalty
-
-
Mishra, B.1
Meyer, G.2
Bach, F.3
Sepulchre, R.4
-
29
-
-
84877779852
-
Newton-like methods for sparse inverse covariance estimation
-
Olsen, P., Oztoprak, F., Nocedal, J., and Rennie, S. Newton-like methods for sparse inverse covariance estimation. In NIPS, 2012.
-
(2012)
NIPS
-
-
Olsen, P.1
Oztoprak, F.2
Nocedal, J.3
Rennie, S.4
-
30
-
-
78549288866
-
Guaranteed minimum rank solutions to linear matrix equations via nuclear norm min imization
-
Recht, B., Fazel, M., and Parrilo, P. A. Guaranteed minimum rank solutions to linear matrix equations via nuclear norm min imization. SIAM Review, 52(3)471-501, 2010.
-
(2010)
SIAM Review
, vol.52
, Issue.3
, pp. 471-501
-
-
Recht, B.1
Fazel, M.2
Parrilo, P.A.3
-
31
-
-
80053458764
-
Large-scale con vex minimization with a low-rank constraint
-
Shalev-Shwartz, S., Gonen, A., and Shamir, O. Large-scale con vex minimization with a low-rank constraint. In ICML, pp. 329-336, 2011.
-
(2011)
ICML
, pp. 329-336
-
-
Shalev-Shwartz, S.1
Gonen, A.2
Shamir, O.3
-
32
-
-
78049448383
-
An accelerated proximal gradient algo rithm for nuclear norm regularized least squares problems
-
Toh, K.-C. and Yun, S. An accelerated proximal gradient algo rithm for nuclear norm regularized least squares problems. J. Optimization, 6:615-640, 2010.
-
(2010)
J. Optimization
, vol.6
, pp. 615-640
-
-
Toh, K.-C.1
Yun, S.2
-
33
-
-
0011336092
-
Characterization of the subdifferential of some matrix norms
-
Watson, G. A. Characterization of the subdifferential of some matrix norms. Linear Algebra and its Applications, 170:33-45, 1992.
-
(1992)
Linear Algebra and Its Applications
, vol.170
, pp. 33-45
-
-
Watson, G.A.1
-
34
-
-
84869205493
-
Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm
-
Wen, Z., Yin, W., and Zhang. Y. Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm. Mathemetical Programming Computa tion, 4(4):333-361, 2012.
-
(2012)
Mathemetical Programming Computa Tion
, vol.4
, Issue.4
, pp. 333-361
-
-
Wen, Z.1
Yin, W.2
Zhang, Y.3
-
36
-
-
84864920041
-
An improved GLMNET for LI-regularized logistic regression
-
Yuan, G.-X., Ho, C.-H., and Lin, C.-J. An improved GLMNET for LI-regularized logistic regression. JMLR, 13:1999-2030, 2012.
-
(2012)
JMLR
, vol.13
, pp. 1999-2030
-
-
Yuan, G.-X.1
Ho, C.-H.2
Lin, C.-J.3
-
37
-
-
34249004618
-
Dimension reduc tion and coefficient estimation in multivariate linear regression
-
Yuan, M., Ekici, A., Lu, Z., and Monteiro, R. Dimension reduc tion and coefficient estimation in multivariate linear regression. J. R. Statist. Soc, pp. 329-346, 2007.
-
(2007)
J. R. Statist. Soc
, pp. 329-346
-
-
Yuan, M.1
Ekici, A.2
Lu, Z.3
Monteiro, R.4
-
38
-
-
84877780790
-
Accelerated training for matrix-norm regularization: A boosting approach
-
Zhang, X., Yu, Y., and Schuurmans, D. Accelerated training for matrix-norm regularization: A boosting approach. In NIPS, 2012.
-
(2012)
NIPS
-
-
Zhang, X.1
Yu, Y.2
Schuurmans, D.3
|