-
2
-
-
84861595950
-
-
Technical report, Northwestern University
-
R. H. Byrd, G. M. Chin, W. Neveitt, and J. Nocedal, On the Use of Stochastic Hessian Information in Unconstrained Optimization, Technical report, Northwestern University, 2010.
-
(2010)
On the Use of Stochastic Hessian Information in Unconstrained Optimization
-
-
Byrd, R.H.1
Chin, G.M.2
Neveitt, W.3
Nocedal, J.4
-
3
-
-
56449092085
-
Efficient projections on the l1-ball for learning in higher dimensions
-
Helsinki
-
J. Duchi, S. Shalev-Shwartz, Y. Singer, and T. Chandra, Efficient projections on the l1-ball for learning in higher dimensions, in Proceedings of the International Conference on Machine Learning, Helsinki, 2008.
-
(2008)
Proceedings of the International Conference on Machine Learning
-
-
Duchi, J.1
Shalev-Shwartz, S.2
Singer, Y.3
Chandra, T.4
-
4
-
-
3242708140
-
Least angle regression
-
B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, Least angle regression, Ann. Statist., 32 (2004), pp. 407-499.
-
(2004)
Ann. Statist.
, vol.32
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
5
-
-
84861622247
-
-
Technical report, EECS Department, University of California-Berkeley, Berkeley, CA
-
L. El Ghaoui, V. Viallon, and T. Rabbani, Safe Feature Elimination for the LASSO and Sparse Supervised Learning Problems, Technical report, EECS Department, University of California-Berkeley, Berkeley, CA, 2011.
-
(2011)
Safe Feature Elimination for the LASSO and Sparse Supervised Learning Problems
-
-
El Ghaoui, L.1
Viallon, V.2
Rabbani, T.3
-
6
-
-
39449126969
-
Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems
-
M. A. T. Figueiredo, R. D. Nowak, and S. J. Wright, Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems, IEEE J. Selected Topics in Signal Processing, 1 (2007), pp. 586-597.
-
(2007)
IEEE J. Selected Topics in Signal Processing
, vol.1
, pp. 586-597
-
-
Figueiredo, M.A.T.1
Nowak, R.D.2
Wright, S.J.3
-
7
-
-
62549130467
-
-
Stanford University
-
J. Friedman, T. Hastie, and R. Tibshirani, Regularization Paths for Generalized Linear Models Via Coordinate Descent, Technical report, Department of Statistics, Stanford University, 2009.
-
(2009)
Regularization Paths for Generalized Linear Models Via Coordinate Descent, Technical report, Department of Statistics
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
8
-
-
69649095451
-
A fixed-point continuation method for l1-minimization: Methodology and convergence
-
E. T. Hale, W. Yin, and Y. Zhang, A fixed-point continuation method for l1-minimization: Methodology and convergence, SIAM J. Optim., 19 (2008), pp. 1107-1130.
-
(2008)
SIAM J. Optim.
, vol.19
, pp. 1107-1130
-
-
Hale, E.T.1
Yin, W.2
Zhang, Y.3
-
9
-
-
4544378568
-
Identifying active constraints via partial smoothness and proxregularity
-
W. Hare and A. Lewis, Identifying active constraints via partial smoothness and proxregularity, J. Convex Anal., 11 (2004), pp. 251-266.
-
(2004)
J. Convex Anal.
, vol.11
, pp. 251-266
-
-
Hare, W.1
Lewis, A.2
-
10
-
-
65949084493
-
A proximal method for identifying active manifolds
-
W. L. Hare, A proximal method for identifying active manifolds, Comput. Optim. Appl., 43 (2009), pp. 295-306.
-
(2009)
Comput. Optim. Appl.
, vol.43
, pp. 295-306
-
-
Hare, W.L.1
-
11
-
-
84976505402
-
Identifying active manifolds in regularization problems
-
H. H. Bauschke, R. S. Burachik, P. L. Combettes, V. Elser, C. R. Luke, and H. Wolkowicz, eds., Springer
-
W. L. Hare, Identifying active manifolds in regularization problems, in Fixed-Point Algorithms for Inverse Problems in Science and Engineering, Optim. and its Appl. 49, H. H. Bauschke, R. S. Burachik, P. L. Combettes, V. Elser, C. R. Luke, and H. Wolkowicz, eds., Springer, 2010, pp. 261-271.
-
(2010)
Fixed-Point Algorithms for Inverse Problems in Science and Engineering, Optim. and its Appl.
, vol.49
, pp. 261-271
-
-
Hare, W.L.1
-
12
-
-
67049101282
-
-
Technical report, Seoul National University
-
J. Kim, Y. Kim, and Y. Kim, Gradient LASSO Algorithm, Technical report, Seoul National University, 2006.
-
(2006)
Gradient LASSO Algorithm
-
-
Kim, J.1
Kim, Y.2
Kim, Y.3
-
13
-
-
33746126624
-
Blockwise sparse regression
-
Y. Kim, J. Kim, and Y. Kim, Blockwise sparse regression, Statist. Sinica, 16 (2006), pp. 375-390.
-
(2006)
Statist. Sinica
, vol.16
, pp. 375-390
-
-
Kim, Y.1
Kim, J.2
Kim, Y.3
-
14
-
-
34547688865
-
An interior-point method for large-scale l1-regularized logistic regression
-
K. Koh, S.-J. Kim, and S. Boyd, An interior-point method for large-scale l1-regularized logistic regression, J. Mach. Learn. Res., 8 (2007), pp. 1519-1555.
-
(2007)
J. Mach. Learn. Res.
, vol.8
, pp. 1519-1555
-
-
Koh, K.1
Kim, S.-J.2
Boyd, S.3
-
15
-
-
0042031309
-
Active sets, nonsmoothness, and sensitivity
-
A. Lewis, Active sets, nonsmoothness, and sensitivity, SIAM J. Optim., 13 (2003), pp. 702-725.
-
(2003)
SIAM J. Optim.
, vol.13
, pp. 702-725
-
-
Lewis, A.1
-
17
-
-
37849035696
-
The group lasso for logistic regression
-
L. Meier, S. van de Geer, and P. Buhlmann, The group lasso for logistic regression, J. Roy. Statist. Soc. B, 70 (2008), pp. 53-71.
-
(2008)
J. Roy. Statist. Soc. B
, vol.70
, pp. 53-71
-
-
Meier, L.1
Van De Geer, S.2
Buhlmann, P.3
-
19
-
-
78549288866
-
Guaranteed minimum-rank solutions to linear matrix equations via nuclear norm minimization
-
B. Recht, M. Fazel, and P. Parrilo, Guaranteed minimum-rank solutions to linear matrix equations via nuclear norm minimization, SIAM Rev., 52 (2010), pp. 471-501.
-
(2010)
SIAM Rev.
, vol.52
, pp. 471-501
-
-
Recht, B.1
Fazel, M.2
Parrilo, P.3
-
20
-
-
0004267646
-
-
Princeton University Press, Princeton, NJ
-
R. T. Rockafellar, Convex Analysis, Princeton University Press, Princeton, NJ, 1970.
-
(1970)
Convex Analysis
-
-
Rockafellar, R.T.1
-
21
-
-
0345327592
-
A simple and efficient algorithm for gene selection using sparse logistic regression
-
S. K. Shevade and S. S. Keerthi, A simple and efficient algorithm for gene selection using sparse logistic regression, Bioinformatics, 19 (2003), pp. 2246-2253.
-
(2003)
Bioinformatics
, vol.19
, pp. 2246-2253
-
-
Shevade, S.K.1
Keerthi, S.S.2
-
22
-
-
77949503812
-
A fast hybrid algorithm for large scale l1-regularized logistic regression
-
J. Shi, W. Yin, S. Osher, and P. Sajda, A fast hybrid algorithm for large scale l1-regularized logistic regression, J. Mach. Learn. Res., 11 (2010), pp. 713-741.
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 713-741
-
-
Shi, J.1
Yin, W.2
Osher, S.3
Sajda, P.4
-
23
-
-
70349939000
-
Lasso-patternsearch algorithm with application to opthalmology data
-
W. Shi, G. Wahba, S. J. Wright, K. Lee, R. Klein, and B. Klein, LASSO-Patternsearch algorithm with application to opthalmology data, Stat. Interface, 1 (2008), pp. 137-153.
-
(2008)
Stat. Interface
, vol.1
, pp. 137-153
-
-
Shi, W.1
Wahba, G.2
Wright, S.J.3
Lee, K.4
Klein, R.5
Klein, B.6
-
24
-
-
0001287271
-
Regression shrinkage and selection via the lasso
-
R. Tibshirani, Regression shrinkage and selection via the LASSO, J. Roy. Statist. Soc. B, 58 (1996), pp. 267-288.
-
(1996)
J. Roy. Statist. Soc. B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
25
-
-
77958113563
-
Approximation accuracy, gradient methods, and error bound for structured convex optimization
-
P. Tseng, Approximation accuracy, gradient methods, and error bound for structured convex optimization, Math. Program. Ser. B, 125 (2010), pp. 263-295.
-
(2010)
Math. Program. Ser. B
, vol.125
, pp. 263-295
-
-
Tseng, P.1
-
26
-
-
61349087401
-
Further results on a stable recovery of sparse overcomplete representations in the presence of noise
-
P. Tseng, Further results on a stable recovery of sparse overcomplete representations in the presence of noise, IEEE Trans. Inform. Theory, 55 (2009), pp. 888-899.
-
(2009)
IEEE Trans. Inform. Theory
, vol.55
, pp. 888-899
-
-
Tseng, P.1
-
27
-
-
60349101047
-
A block-coordinate gradient descent method for linearly constrained nonsmooth separable optimization
-
P. Tseng and S. Yun, A block-coordinate gradient descent method for linearly constrained nonsmooth separable optimization, J. Optim. Theory Appl., 140 (2009), pp. 513-535.
-
(2009)
J. Optim. Theory Appl.
, vol.140
, pp. 513-535
-
-
Tseng, P.1
Yun, S.2
-
28
-
-
46749146509
-
A coordinate gradient descent method for nonsmooth separable minimization
-
P. Tseng and S. Yun, A coordinate gradient descent method for nonsmooth separable minimization, Math. Program. Ser. B, 117 (2009), pp. 387-423.
-
(2009)
Math. Program. Ser. B
, vol.117
, pp. 387-423
-
-
Tseng, P.1
Yun, S.2
-
29
-
-
77956736675
-
A coordinate gradient descent method for linearly constrained smooth optimization and support vector machines training
-
P. Tseng and S. Yun, A coordinate gradient descent method for linearly constrained smooth optimization and support vector machines training, Comput. Optim. Appl., 47 (2010), pp. 179-206.
-
(2010)
Comput. Optim. Appl.
, vol.47
, pp. 179-206
-
-
Tseng, P.1
Yun, S.2
-
30
-
-
23844431650
-
Simultaneous variable selection
-
B. Turlach, W. N. Venables, and S. J. Wright, Simultaneous variable selection, Technometrics, 47 (2005), pp. 349-363.
-
(2005)
Technometrics
, vol.47
, pp. 349-363
-
-
Turlach, B.1
Venables, W.N.2
Wright, S.J.3
-
31
-
-
0006493579
-
A first course in differential geometry
-
Marcel Dekker, New York
-
I. Vaisman, A First Course in Differential Geometry, Monogr. Textbooks Pure Appl. Math., Marcel Dekker, New York, 1984.
-
(1984)
Monogr. Textbooks Pure Appl. Math.
-
-
Vaisman, I.1
-
32
-
-
0027623858
-
Identifiable surfaces in constrained optimization
-
S. J. Wright, Identifiable surfaces in constrained optimization, SIAM J. Control Optim., 31 (1993), pp. 1063-1079.
-
(1993)
SIAM J. Control Optim.
, vol.31
, pp. 1063-1079
-
-
Wright, S.J.1
-
33
-
-
67650178787
-
Sparse reconstruction by separable approximation
-
S. J. Wright, R. D. Nowak, and M. A. T. Figueiredo, Sparse reconstruction by separable approximation, IEEE Trans. Signal Process., 57 (2009), pp. 2479-2493.
-
(2009)
IEEE Trans. Signal Process.
, vol.57
, pp. 2479-2493
-
-
Wright, S.J.1
Nowak, R.D.2
Figueiredo, M.A.T.3
-
34
-
-
84857719183
-
-
Technical report, Department of Computer Science, National Taiwan University
-
G.-X. Yuan, K.-W. Chang, C.-J. Hsieh, and C. Lin, A Comparison of Optimization Methods for Large-Scale l1-Regularized Linear Classification, Technical report, Department of Computer Science, National Taiwan University, 2009.
-
(2009)
A Comparison of Optimization Methods for Large-Scale l1-Regularized Linear Classification
-
-
Yuan, G.-X.1
Chang, K.-W.2
Hsieh, C.-J.3
Lin, C.4
-
35
-
-
33645035051
-
Model selection and estimation in regression with grouped variables
-
M. Yuan and Y. Lin, Model selection and estimation in regression with grouped variables, J. Roy. Statist. Soc. B, 68 (2006), pp. 49-67.
-
(2006)
J. Roy. Statist. Soc. B
, vol.68
, pp. 49-67
-
-
Yuan, M.1
Lin, Y.2
|