-
1
-
-
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 J. Imaging Sci., 2(1):183-202, 2009.
-
(2009)
SIAM J. Imaging Sci.
, vol.2
, Issue.1
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
3
-
-
0001900752
-
Maximization of a linear function of variables subject to linear inequalities
-
Koopmans, T.C. (ed.), Wiley, New York
-
Dantzig, G. B. Maximization of a linear function of variables subject to linear inequalities. In Koopmans, T.C. (ed.), Activity Analysis of Production and Allocation, pp. 339-347. Wiley, New York, 1951.
-
(1951)
Activity Analysis of Production and Allocation
, pp. 339-347
-
-
Dantzig, G.B.1
-
4
-
-
3242708140
-
Least angle regression
-
Efron, B., Hastie, T., Johnstone, I., and Tibshirani, R. Least angle regression. Ann. Stat., 32(2):407-499, 2004.
-
(2004)
Ann. Stat.
, vol.32
, Issue.2
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
5
-
-
0032361278
-
Penalized regressions: The bridge versus the Lasso
-
Fu, W. J. Penalized regressions: The bridge versus the Lasso. J. Comput. Graph. Stat., 7(3):397-416, 1998.
-
(1998)
J. Comput. Graph. Stat.
, vol.7
, Issue.3
, pp. 397-416
-
-
Fu, W.J.1
-
6
-
-
26844461512
-
Recovery of exact sparse representations in the presence of bounded noise
-
Fuchs, J. J. Recovery of exact sparse representations in the presence of bounded noise. IEEE T. Inform. Theory., 51(10):3601-3608, 2005.
-
(2005)
IEEE T. Inform. Theory.
, vol.51
, Issue.10
, pp. 3601-3608
-
-
Fuchs, J.J.1
-
8
-
-
78249279655
-
Approximating parameterized convex optimization problems
-
Algorithms - ESA
-
Giesen, J., Jaggi, M., and Laue, S. Approximating parameterized convex optimization problems. In Algorithms - ESA, Lectures Notes Comp. Sci. 2010.
-
(2010)
Lectures Notes Comp. Sci.
-
-
Giesen, J.1
Jaggi, M.2
Laue, S.3
-
9
-
-
84925605946
-
The entire regularization path for the support vector machine
-
Hastie, T., Rosset, S., Tibshirani, R., and Zhu, J. The entire regularization path for the support vector machine. J. Mach. Learn. Res., 5:1391-1415, 2004.
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 1391-1415
-
-
Hastie, T.1
Rosset, S.2
Tibshirani, R.3
Zhu, J.4
-
11
-
-
0001849163
-
How good is the simplex algorithm?
-
Shisha, O. (ed.), Academic Press, New York
-
Klee, V. and Minty, G. J. How good is the simplex algorithm? In Shisha, O. (ed.), Inequalities, volume III, pp. 159-175. Academic Press, New York, 1972.
-
(1972)
Inequalities
, vol.3
, pp. 159-175
-
-
Klee, V.1
Minty, G.J.2
-
12
-
-
84995186518
-
Portfolio selection
-
Markowitz, H. Portfolio selection. J. Financ., 7(1):77-91, 1952.
-
(1952)
J. Financ.
, vol.7
, Issue.1
, pp. 77-91
-
-
Markowitz, H.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 J. Numer. Anal., 20(3):389-403, 2000.
-
(2000)
IMA J. Numer. Anal.
, vol.20
, Issue.3
, pp. 389-403
-
-
Osborne, M.1
Presnell, B.2
Turlach, B.3
-
14
-
-
34250906530
-
Ein verfahren zur lösung parameterabhängiger, nichtlinearer maximum-probleme
-
Ritter, K. Ein verfahren zur lösung parameterabhängiger, nichtlinearer maximum-probleme. Math. Method Oper. Res., 6(4):149-166, 1962.
-
(1962)
Math. Method Oper. Res.
, vol.6
, Issue.4
, pp. 149-166
-
-
Ritter, K.1
-
15
-
-
34548452938
-
Piecewise linear regularized solution paths
-
Rosset, S. and Zhu, J. Piecewise linear regularized solution paths. Ann. Stat., 35(3):1012-1030, 2007.
-
(2007)
Ann. Stat.
, vol.35
, Issue.3
, pp. 1012-1030
-
-
Rosset, S.1
Zhu, J.2
-
16
-
-
85194972808
-
Regression shrinkage and selection via the Lasso
-
Tibshirani, R. Regression shrinkage and selection via the Lasso. J. Roy. Stat. Soc. B, 58(1):267-288, 1996.
-
(1996)
J. Roy. Stat. Soc. B
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
|