-
1
-
-
27844439373
-
A framework for learning predictive structures from multiple tasks and unlabeled data
-
R. K. Ando and T. Zhang. A framework for learning predictive structures from multiple tasks and unlabeled data. Journal of Machine Learning Research, 6:1817- 1853, 2005.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1817-1853
-
-
Ando, R.K.1
Zhang, T.2
-
2
-
-
55149088329
-
Convex multi-task feature learning
-
A. Argyriou, T. Evgeniou, and M. Pontil. Convex multi-task feature learning. Machine Learning, 73(3):243-273, 2008.
-
(2008)
Machine Learning
, vol.73
, Issue.3
, pp. 243-273
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
-
3
-
-
46249088758
-
Consistency of the group lasso and multiple kernel learning
-
9
-
F. Bach. Consistency of the group lasso and multiple kernel learning. Journal of Machine Learning Re- search, 1179-1225:2008, 9.
-
(2008)
Journal of Machine Learning Re- Search
, pp. 1179-1225
-
-
Bach, F.1
-
4
-
-
85014561619
-
A fast iterative shrinkage thresholding algorithm for linear inverse problems
-
A. Beck and M. Teboulle. A fast iterative shrinkage thresholding algorithm for linear inverse problems. SIAM Journal of Image Science, 2(1):183-202, 2009.
-
(2009)
SIAM Journal of Image Science
, vol.2
, Issue.1
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
6
-
-
75249102673
-
Efficient online and batch learning using forward backward splitting
-
J. Duchi and Y. Singer. Efficient online and batch learning using forward backward splitting. Journal of Machine Learning Research, 10:2899-2934, 2009.
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 2899-2934
-
-
Duchi, J.1
Singer, Y.2
-
8
-
-
1542784498
-
Variable selection via nonconcave penalized likelihood and its oracle properties
-
J. Fan and R. Li. Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American Statistical Association, 96:1348-1360, 2001.
-
(2001)
Journal of the American Statistical Association
, vol.96
, pp. 1348-1360
-
-
Fan, J.1
Li, R.2
-
11
-
-
71149111015
-
Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery
-
H. Liu, M. Palatucci, and J. Zhang. Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery. In Inernational Conference on Machine Learning, 2009.
-
(2009)
Inernational Conference on Machine Learning
-
-
Liu, H.1
Palatucci, M.2
Zhang, J.3
-
14
-
-
45749091592
-
Predicting human brain activity associated with the meanings of nouns
-
T. M. Mitchell, S. V. Shinkareva, A. Carlson, K.-M. Chang, V. L. Malave, R. A. Mason, and M. A. Just. Predicting human brain activity associated with the meanings of nouns. Science, 320:1191, 2008.
-
(2008)
Science
, vol.320
, pp. 1191
-
-
Mitchell, T.M.1
Shinkareva, S.V.2
Carlson, A.3
Chang, K.-M.4
Malave, V.L.5
Mason, R.A.6
Just, M.A.7
-
15
-
-
77949526376
-
On the asymptotic properties of the group lasso estimator for linear models
-
Y. Nardi and A. Rinaldo. On the asymptotic properties of the group lasso estimator for linear models. Electronic Journal of Statistics, 2:605-633, 2008.
-
(2008)
Electronic Journal of Statistics
, vol.2
, pp. 605-633
-
-
Nardi, Y.1
Rinaldo, A.2
-
16
-
-
79957634445
-
Simultaneous support recovery in high dimensions: Benefits and perils of block ℓ1/ℓ1-regularization
-
S. Negahban and M. J. Wainwright. Simultaneous support recovery in high dimensions: Benefits and perils of block ℓ1/ℓ1-regularization. IEEE Transactions on Information Theory, 57 (6):3841-3863, 2011.
-
(2011)
IEEE Transactions on Information Theory
, vol.57
, Issue.6
, pp. 3841-3863
-
-
Negahban, S.1
Wainwright, M.J.2
-
17
-
-
67651063011
-
Gradient methods for minimizing composite objective function
-
Center for Operations Research and Econometrics (CORE
-
Y. Nesterov. Gradient methods for minimizing composite objective function. Technical report, Universit catholique de Louvain, Center for Operations Research and Econometrics (CORE), 2007.
-
(2007)
Technical Report, Universit Catholique de Louvain
-
-
Nesterov, Y.1
-
19
-
-
77953322499
-
Joint covariate selection and joint subspace selection for multiple classification problems
-
G. Obozinski, B. Taskar, and M. I. Jordan. Joint covariate selection and joint subspace selection for multiple classification problems. Statistics and Computing, 20:231-252, 2010.
-
(2010)
Statistics and Computing
, vol.20
, pp. 231-252
-
-
Obozinski, G.1
Taskar, B.2
Jordan, M.I.3
-
27
-
-
33846114377
-
The adaptive lasso and its oracle properties
-
H. Zou. The adaptive lasso and its oracle properties. Journal of the American Statistical Association, 101(476):1418-1429, 2006.
-
(2006)
Journal of the American Statistical Association
, vol.101
, Issue.476
, pp. 1418-1429
-
-
Zou, H.1
-
29
-
-
62549126570
-
On the adaptive elastic-net with a diverging number of parameters
-
H. Zou and H. Zhang. On the adaptive elastic-net with a diverging number of parameters. Annals of Statistics, 37(4):1733-1751, 2009.
-
(2009)
Annals of Statistics
, vol.37
, Issue.4
, pp. 1733-1751
-
-
Zou, H.1
Zhang, H.2
|