-
1
-
-
84857710417
-
Optimization with sparsity-inducing penalties
-
10.1561/2200000015
-
Bach, F. R., Jenatton, R., Mairal, J., & Obozinski, G. (2012). Optimization with sparsity-inducing penalties. Foundations and Trends in Machine Learning, 4(1), 1-106.
-
(2012)
Foundations and Trends in Machine Learning
, vol.4
, Issue.1
, pp. 1-106
-
-
Bach, F.R.1
Jenatton, R.2
Mairal, J.3
Obozinski, G.4
-
3
-
-
85014561619
-
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
-
2486527 1175.94009 10.1137/080716542
-
Beck, A., & Teboulle, M. (2009). A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM Journal on Imaging Sciences, 2, 183-202.
-
(2009)
SIAM Journal on Imaging Sciences
, vol.2
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
6
-
-
48849104146
-
Coordinate descent method for large-scale l2-loss linear support vector machines
-
2426046 1225.68157
-
Chang, K. W., Hsieh, C. J., & Lin, C. J. (2008). Coordinate descent method for large-scale l2-loss linear support vector machines. Journal of Machine Learning Research, 9, 1369-1398.
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 1369-1398
-
-
Chang, K.W.1
Hsieh, C.J.2
Lin, C.J.3
-
7
-
-
30844438177
-
Signal recovery by proximal forward-backward splitting
-
2203849 1179.94031 10.1137/050626090
-
Combettes, P., & Wajs, V. (2005). Signal recovery by proximal forward-backward splitting. Multiscale Modeling & Simulation, 4, 1168-1200.
-
(2005)
Multiscale Modeling & Simulation
, vol.4
, pp. 1168-1200
-
-
Combettes, P.1
Wajs, V.2
-
8
-
-
0010442827
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
1037.68110
-
Crammer, K., & Singer, Y. (2002). On the algorithmic implementation of multiclass kernel-based vector machines. Journal of Machine Learning Research, 2, 265-292.
-
(2002)
Journal of Machine Learning Research
, vol.2
, pp. 265-292
-
-
Crammer, K.1
Singer, Y.2
-
11
-
-
75249102673
-
Efficient online and batch learning using forward backward splitting
-
2579916 1235.62151
-
Duchi, J., & Singer, Y. (2009b). Efficient online and batch learning using forward backward splitting. Journal of Machine Learning Research, 10, 2899-2934.
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 2899-2934
-
-
Duchi, J.1
Singer, Y.2
-
14
-
-
45849107328
-
Pathwise coordinate optimization
-
2415737 05226935 10.1214/07-AOAS131
-
Friedman, J., Hastie, T., Höfling, H., & Tibshirani, R. (2007). Pathwise coordinate optimization. The Annals of Applied Statistics, 1, 302-332.
-
(2007)
The Annals of Applied Statistics
, vol.1
, pp. 302-332
-
-
Friedman, J.1
Hastie, T.2
Höfling, H.3
Tibshirani, R.4
-
16
-
-
77950537175
-
Regularization paths for generalized linear models via coordinate descent
-
Friedman, J. H., Hastie, T., & Tibshirani, R. (2010b). Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software, 33, 1-22.
-
(2010)
Journal of Statistical Software
, vol.33
, pp. 1-22
-
-
Friedman, J.H.1
Hastie, T.2
Tibshirani, R.3
-
17
-
-
0032361278
-
Penalized regressions: The bridge versus the lasso
-
1646710
-
Fu, W. J. (1998). Penalized regressions: the bridge versus the lasso. Journal of Computational and Graphical Statistics, 7, 397-416.
-
(1998)
Journal of Computational and Graphical Statistics
, vol.7
, pp. 397-416
-
-
Fu, W.J.1
-
18
-
-
2142775432
-
Multicategory support vector machines, theory, and application to the classification of microarray data and satellite radiance data
-
2054287 1089.62511 10.1198/016214504000000098
-
Lee, Y., Lin, Y., & Wahba, G. (2004). Multicategory support vector machines, theory, and application to the classification of microarray data and satellite radiance data. Journal of the American Statistical Association, 99, 67-81.
-
(2004)
Journal of the American Statistical Association
, vol.99
, pp. 67-81
-
-
Lee, Y.1
Lin, Y.2
Wahba, G.3
-
19
-
-
0036817951
-
A finite Newton method for classification
-
1953825 1065.90078 10.1080/1055678021000028375
-
Mangasarian, O. (2002). A finite Newton method for classification. Optimization Methods and Software, 17, 913-929.
-
(2002)
Optimization Methods and Software
, vol.17
, pp. 913-929
-
-
Mangasarian, O.1
-
20
-
-
37849035696
-
The group lasso for logistic regression
-
2412631 05563343 10.1111/j.1467-9868.2007.00627.x
-
Meier, L., Van de Geer, S., & Bühlmann, P. (2008). The group lasso for logistic regression. Journal of the Royal Statistical Society. Series B. Statistical Methodology, 70(1), 53-71.
-
(2008)
Journal of the Royal Statistical Society. Series B. Statistical Methodology
, vol.70
, Issue.1
, pp. 53-71
-
-
Meier, L.1
Van De Geer, S.2
Bühlmann, P.3
-
21
-
-
77953322499
-
Joint covariate selection and joint subspace selection for multiple classification problems
-
2610775 10.1007/s11222-008-9111-x
-
Obozinski, G., Taskar, B., & Jordan, M. I. (2010). Joint covariate selection and joint subspace selection for multiple classification problems. Statistics and Computing, 20(2), 231-252.
-
(2010)
Statistics and Computing
, vol.20
, Issue.2
, pp. 231-252
-
-
Obozinski, G.1
Taskar, B.2
Jordan, M.I.3
-
22
-
-
84872903067
-
-
Tech. rep., Columbia University
-
Qin, Z., Scheinberg, K., & Goldfarb, D. (2010). Efficient block-coordinate descent algorithms for the group lasso. Tech. rep., Columbia University.
-
(2010)
Efficient Block-coordinate Descent Algorithms for the Group Lasso
-
-
Qin, Z.1
Scheinberg, K.2
Goldfarb, D.3
-
23
-
-
84897116612
-
Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function
-
Richtárik, P., & Takáč, M. (2012a). Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function. Mathematical Programming, 1-38.
-
(2012)
Mathematical Programming
, pp. 1-38
-
-
Richtárik, P.1
-
26
-
-
79952743173
-
Pegasos: Primal estimated sub-gradient solver for svm
-
Shalev-Shwartz, S., Singer, Y., Srebro, N., & Cotter, A. (2010). Pegasos: primal estimated sub-gradient solver for svm. Mathematical Programming, 1-28.
-
(2010)
Mathematical Programming
, pp. 1-28
-
-
Shalev-Shwartz, S.1
Singer, Y.2
Srebro, N.3
Cotter, A.4
-
27
-
-
0345327592
-
A simple and efficient algorithm for gene selection using sparse logistic regression
-
10.1093/bioinformatics/btg308
-
Shevade, S. K., & Keerthi, S. S. (2003). A simple and efficient algorithm for gene selection using sparse logistic regression. Bioinformatics, 19(17), 2246-2253.
-
(2003)
Bioinformatics
, vol.19
, Issue.17
, pp. 2246-2253
-
-
Shevade, S.K.1
Keerthi, S.S.2
-
28
-
-
46749146509
-
A coordinate gradient descent method for nonsmooth separable minimization
-
2421312 1166.90016 10.1007/s10107-007-0170-0
-
Tseng, P., & Yun, S. (2009). A coordinate gradient descent method for nonsmooth separable minimization. Mathematical Programming, 117, 387-423.
-
(2009)
Mathematical Programming
, vol.117
, pp. 387-423
-
-
Tseng, P.1
Yun, S.2
-
29
-
-
71149087699
-
Feature hashing for large scale multitask learning
-
Weinberger, K., Dasgupta, A., Langford, J., Smola, A., & Attenberg, J. (2009). Feature hashing for large scale multitask learning. In Proceedings of international conference on machine learning (ICML) (pp. 1113-1120).
-
(2009)
Proceedings of International Conference on Machine Learning (ICML)
, pp. 1113-1120
-
-
Weinberger, K.1
Dasgupta, A.2
Langford, J.3
Smola, A.4
Attenberg, J.5
-
31
-
-
84861594597
-
Accelerated block-coordinate relaxation for regularized optimization
-
2902689 06070012 10.1137/100808563
-
Wright, S. J. (2012). Accelerated block-coordinate relaxation for regularized optimization. SIAM Journal on Optimization, 22, 159-186.
-
(2012)
SIAM Journal on Optimization
, vol.22
, pp. 159-186
-
-
Wright, S.J.1
-
32
-
-
67650178787
-
Sparse reconstruction by separable approximation
-
2650165 10.1109/TSP.2009.2016892
-
Wright, S. J., Nowak, R. D., & Figueiredo, M. A. T. (2009). Sparse reconstruction by separable approximation. Transactions on Signal Processing, 57(7), 2479-2493.
-
(2009)
Transactions on Signal Processing
, vol.57
, Issue.7
, pp. 2479-2493
-
-
Wright, S.J.1
Nowak, R.D.2
Figueiredo, M.A.T.3
-
33
-
-
33645035051
-
Model selection and estimation in regression with grouped variables
-
2212574 1141.62030 10.1111/j.1467-9868.2005.00532.x
-
Yuan, M., & Lin, Y. (2006). Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society, Series B, 68, 49-67.
-
(2006)
Journal of the Royal Statistical Society, Series B
, vol.68
, pp. 49-67
-
-
Yuan, M.1
Lin, Y.2
-
34
-
-
79551500651
-
A comparison of optimization methods and software for large-scale l1-regularized linear classification
-
2746550 1242.62065
-
Yuan, G. X., Chang, K. W., Hsieh, C. J., & Lin, C. J. (2010). A comparison of optimization methods and software for large-scale l1-regularized linear classification. Journal of Machine Learning Research, 11, 3183-3234.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 3183-3234
-
-
Yuan, G.X.1
Chang, K.W.2
Hsieh, C.J.3
Lin, C.J.4
-
36
-
-
47749133494
-
Variable selection for multicategory svm via sup-norm regularization
-
2386091 10.1214/08-EJS122
-
Zhang, H. H., Liu, Y., Wu, Y., & Zhu, J. (2006). Variable selection for multicategory svm via sup-norm regularization. Electronic Journal of Statistics, 2, 149-167.
-
(2006)
Electronic Journal of Statistics
, vol.2
, pp. 149-167
-
-
Zhang, H.H.1
Liu, Y.2
Wu, Y.3
Zhu, J.4
-
37
-
-
33845263263
-
On model selection consistency of lasso
-
2274449 1222.62008
-
Zhao, P., & Yu, B. (2006). On model selection consistency of lasso. Journal of Machine Learning Research, 7, 2541-2563.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2541-2563
-
-
Zhao, P.1
Yu, B.2
-
38
-
-
16244401458
-
Regularization and variable selection via the elastic net
-
2137327 1069.62054 10.1111/j.1467-9868.2005.00503.x
-
Zou, H., & Hastie, T. (2005). Regularization and variable selection via the elastic net. Journal of the Royal Statistical Society, Series B, 67, 301-320.
-
(2005)
Journal of the Royal Statistical Society, Series B
, vol.67
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
|