-
4
-
-
77950537175
-
Regularization paths for generalized linear models via coordinate descent
-
Friedman, J. H., Hastie, T. and Tibshirani, R. (2010). Regularization paths for generalized linear models via coordinate descent. J. Statist. Software 33, 1-22.
-
(2010)
J. Statist. Software
, vol.33
, pp. 1-22
-
-
Friedman, J.H.1
Hastie, T.2
Tibshirani, R.3
-
5
-
-
0003684449
-
-
2nd edition. Springer, Verlag, New York
-
Hastie, T., Tibshirani, R. and Friedman, J. (2008). The Elements of Statistical Learning; Data Mining, Inference and Prediction. 2nd edition. Springer Verlag, New York.
-
(2008)
The Elements of Statistical Learning; Data Mining, Inference and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
7
-
-
84860650487
-
Sparse recovery in large ensembles of kernel machines. In
-
Citeseer, 2008
-
Koltchinskii, V. and Yuan M. (2008). Sparse recovery in large ensembles of kernel machines. In Conference on Learning Theory, COLT, 229-238. Citeseer, 2008.
-
(2008)
Conference on Learning Theory, COLT
, pp. 229-238
-
-
Koltchinskii, V.1
Yuan, M.2
-
8
-
-
78650166948
-
Sparsity in multiple kernel learning
-
Koltchinskii, V. and Yuan M. (2010). Sparsity in multiple kernel learning. Ann. Statist., 38, 3660-3695.
-
(2010)
Ann. Statist.
, vol.38
, pp. 3660-3695
-
-
Koltchinskii, V.1
Yuan, M.2
-
9
-
-
37849035696
-
The group lasso for logistic regression
-
Meier, L., van de Geer, S. and B̈uhlmann, P. (2008). The group lasso for logistic regression. J. Roy. Statist. Soc. Ser. B 70, 53-71.
-
(2008)
J. Roy. Statist. Soc. Ser. B
, vol.70
, pp. 53-71
-
-
Meier, L.1
Van De Geer, S.2
B̈uhlmann, P.3
-
10
-
-
73949083829
-
High-dimensional additive modeling
-
Meier, L., van de Geer, S. and B̈uhlmann, P. (2009). High-dimensional additive modeling. Ann. Statist. 37, 3779-3821.
-
(2009)
Ann. Statist.
, vol.37
, pp. 3779-3821
-
-
Meier, L.1
Van De Geer, S.2
B̈uhlmann, P.3
-
13
-
-
70350092487
-
Sparse additive models
-
Ravikumar, P., Lafferty, J., Liu, H. and Wasserman, L. (2009). Sparse additive models. J. Roy. Statist. Soc. Ser. B 71, 1009-1030.
-
(2009)
J. Roy. Statist. Soc. Ser. B
, vol.71
, pp. 1009-1030
-
-
Ravikumar, P.1
Lafferty, J.2
Liu, H.3
Wasserman, L.4
-
14
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
Tibshirani, R (1996). Regression shrinkage and selection via the lasso. J. Roy. Statist. Soc. Ser. B 58, 267-288.
-
(1996)
J. Roy. Statist. Soc. Ser. B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
15
-
-
0035533631
-
Convergence of block coordinate descent method for nondifferentiable maximization
-
Tseng, P. (2001). Convergence of block coordinate descent method for nondifferentiable maximization. J. Optim. Theory Appl., 109, 474-494.
-
(2001)
J. Optim. Theory Appl.
, vol.109
, pp. 474-494
-
-
Tseng, P.1
-
16
-
-
46749146509
-
A coordinate gradient descent method for nonsmooth separable minimization
-
Tseng, P. and Yun, S. (2009). A coordinate gradient descent method for nonsmooth separable minimization. Math. Program. 117, 387-423.
-
(2009)
Math. Program.
, vol.117
, pp. 387-423
-
-
Tseng, P.1
Yun, S.2
-
18
-
-
33645035051
-
Model selection and estimation in regression with grouped variables
-
Yuan, M. and Lin, Y. (2007). Model selection and estimation in regression with grouped variables. J. Roy. Statist. Soc. Ser. B 68, 49-67.
-
(2007)
J. Roy. Statist. Soc. Ser. B
, vol.68
, pp. 49-67
-
-
Yuan, M.1
Lin, Y.2
|