-
1
-
-
79551550744
-
NESTA: A fast and accurate first-order method for sparse recovery
-
Becker, S. R., Bobin, J., and Candès, E. J. NESTA: A fast and accurate first-order method for sparse recovery. SIAM Journal on Imaging Sciences, 4(1):1-39, 2011.
-
(2011)
SIAM Journal on Imaging Sciences
, vol.4
, Issue.1
, pp. 1-39
-
-
Becker, S.R.1
Bobin, J.2
Candès, E.J.3
-
2
-
-
68649086910
-
Simultaneous analysis of Lasso and Dantzig selector
-
Bickel, P., Ritov, Y., and Tsybakov, A. Simultaneous analysis of Lasso and Dantzig selector. Annals of Statistics, 37:1705-1732, 2009.
-
(2009)
Annals of Statistics
, vol.37
, pp. 1705-1732
-
-
Bickel, P.1
Ritov, Y.2
Tsybakov, A.3
-
3
-
-
36749005582
-
A new TwIST: Two-step iterative shrinking/thresholding algorithms for image restoration
-
Bioucas-Dias, J. M. and Figueiredo, M. A. T. A new TwIST: Two-step iterative shrinking/thresholding algorithms for image restoration. IEEE Transactions on Image Processing, 16(12):2992-3004, 2007.
-
(2007)
IEEE Transactions on Image Processing
, vol.16
, Issue.12
, pp. 2992-3004
-
-
Bioucas-Dias, J.M.1
Figueiredo, M.A.T.2
-
5
-
-
7044231546
-
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
-
Daubechies, I., Defriese, M., and Mol, C. De. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint. Comm. Pure Appl. Math., 57(11):1413-1457, 2004.
-
(2004)
Comm. Pure Appl. Math.
, vol.57
, Issue.11
, pp. 1413-1457
-
-
Daubechies, I.1
Defriese, M.2
De Mol, C.3
-
6
-
-
3242708140
-
Least angle regression
-
with discussion
-
Efron, B., Hastie, T., Johnstone, I., and Tibshirani, R. Least angle regression (with discussion). Annals of Statistics, 32:407-499, 2004.
-
(2004)
Annals of Statistics
, vol.32
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
8
-
-
72249100613
-
The dantzig selector and sparsity oracle inequalities
-
Koltchinskii, V. The dantzig selector and sparsity oracle inequalities. Bernoulli, 15:799-828, 2009.
-
(2009)
Bernoulli
, vol.15
, pp. 799-828
-
-
Koltchinskii, V.1
-
9
-
-
33747163541
-
High dimensional graphs and variable selection with the lasso
-
Meinshausen, N. and Bühlmann, P. High dimensional graphs and variable selection with the lasso. Annals of Statistics, 34:1436-1462, 2006.
-
(2006)
Annals of Statistics
, vol.34
, pp. 1436-1462
-
-
Meinshausen, N.1
Bühlmann, P.2
-
11
-
-
17444406259
-
Smooth minimization of nonsmooth functions
-
Nesterov, Yu. Smooth minimization of nonsmooth functions. Mathematical Programming, 103(1):127-152, 2005.
-
(2005)
Mathematical Programming
, vol.103
, Issue.1
, pp. 127-152
-
-
Nesterov, Yu.1
-
12
-
-
57649169327
-
Gradient methods for minimizing composite objective function
-
Center for Operations Research and Econometrics, Catholic University of Louvain, Belgium, September
-
Nesterov, Yu. Gradient methods for minimizing composite objective function. CORE discussion paper 2007/76, Center for Operations Research and Econometrics, Catholic University of Louvain, Belgium, September 2007.
-
(2007)
CORE Discussion Paper 2007/76
-
-
Nesterov, Yu.1
-
13
-
-
0034215549
-
A new approach to variable selection in least squares problems
-
Osborne, M., Presnell, B., and Turlach, B. A new approach to variable selection in least squares problems. IMA Journal of Numerical Analysis, 20:389-404, 2000.
-
(2000)
IMA Journal of Numerical Analysis
, vol.20
, pp. 389-404
-
-
Osborne, M.1
Presnell, B.2
Turlach, B.3
-
15
-
-
70049111607
-
On accelerated proximal gradient methods for convex-concave optimization
-
Manuscript submitted to
-
Tseng, P. On accelerated proximal gradient methods for convex-concave optimization. Manuscript submitted to SIAM Journal on Optimization, 2008.
-
(2008)
SIAM Journal on Optimization
-
-
Tseng, P.1
-
16
-
-
77955054299
-
On the conditions used to prove oracle results for the lasso
-
van de Geer, S. and Bühlmann, P. On the conditions used to prove oracle results for the lasso. Electronic Journal of Statistics, 3:1360-1392, 2009.
-
(2009)
Electronic Journal of Statistics
, vol.3
, pp. 1360-1392
-
-
Van De Geer, S.1
Bühlmann, P.2
-
17
-
-
77955666600
-
A fast algorithm for sparse reconstruction based on shrinkage, subspace optimization and continuation
-
Wen, Z., Yin, W., Goldfarb, D., and Zhang, Y. A fast algorithm for sparse reconstruction based on shrinkage, subspace optimization and continuation. SIAM Journal on Scientific Computing, 32(4):1832-1857, 2010.
-
(2010)
SIAM Journal on Scientific Computing
, vol.32
, Issue.4
, pp. 1832-1857
-
-
Wen, Z.1
Yin, W.2
Goldfarb, D.3
Zhang, Y.4
-
18
-
-
67650178787
-
Sparse reconstruction by separable approximation
-
July
-
Wright, S. J., Nowad, R. D., and Figueiredo, M. A. T. Sparse reconstruction by separable approximation. IEEE Transactions on Signal Processing, 57(7):2479-2493, July 2009.
-
(2009)
IEEE Transactions on Signal Processing
, vol.57
, Issue.7
, pp. 2479-2493
-
-
Wright, S.J.1
Nowad, R.D.2
Figueiredo, M.A.T.3
-
19
-
-
50949096321
-
The sparsity and bias of the lasso selection in high-dimensional linear regression
-
Zhang, C.-H. and Huang, J. The sparsity and bias of the lasso selection in high-dimensional linear regression. Annals of Statistics, 36:1567-1594, 2008.
-
(2008)
Annals of Statistics
, vol.36
, pp. 1567-1594
-
-
Zhang, C.-H.1
Huang, J.2
-
20
-
-
69049086702
-
1 regularization
-
1 regularization. Annals of Statistics, 37:2109-2144, 2009.
-
(2009)
Annals of Statistics
, vol.37
, pp. 2109-2144
-
-
Zhang, T.1
|