-
1
-
-
64149107285
-
A new approach to collaborative filtering: Operator estimation with spectral regularization
-
J. Abernethy, F. Bach, T. Evgeniou, and J.-P. Vert, "A new approach to collaborative filtering: Operator estimation with spectral regularization," Journal of Machine Learning Research, vol. 10, pp. 803-826, 2009.
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 803-826
-
-
Abernethy, J.1
Bach, F.2
Evgeniou, T.3
Vert, J.-P.4
-
2
-
-
79952749920
-
Variable sparsity kernel learning
-
J. Aflalo, A. Ben-Tal, C. Bhattacharyya, J. S. Nath, and S. Raman, "Variable sparsity kernel learning," Journal of Machine Learning Research, vol. 12, pp. 565-592, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 565-592
-
-
Aflalo, J.1
Ben-Tal, A.2
Bhattacharyya, C.3
Nath, J.S.4
Raman, S.5
-
3
-
-
33750383209
-
K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
-
DOI 10.1109/TSP.2006.881199
-
M. Aharon, M. Elad, and A. Bruckstein, "K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation," IEEE Transactions on Signal Processing, vol. 54, no. 11, pp. 4311-4322, 2006. (Pubitemid 44637761)
-
(2006)
IEEE Transactions on Signal Processing
, vol.54
, Issue.11
, pp. 4311-4322
-
-
Aharon, M.1
Elad, M.2
Bruckstein, A.3
-
4
-
-
34547979771
-
Uncovering shared structures in multiclass classification
-
Y. Amit, M. Fink, N. Srebro, and S. Ullman, "Uncovering shared structures in multiclass classification," in Proceedings of the International Conference on Machine Learning (ICML), 2007.
-
(2007)
Proceedings of the International Conference on Machine Learning (ICML)
-
-
Amit, Y.1
Fink, M.2
Srebro, N.3
Ullman, S.4
-
6
-
-
55149088329
-
Convex multi-task feature learning
-
A. Argyriou, T. Evgeniou, and M. Pontil, "Convex multi-task feature learning," Machine Learning, vol. 73, no. 3, pp. 243-272, 2008.
-
(2008)
Machine Learning
, vol.73
, Issue.3
, pp. 243-272
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
-
7
-
-
46249088758
-
Consistency of the group lasso and multiple kernel learning
-
F. Bach, "Consistency of the group lasso and multiple kernel learning," Journal of Machine Learning Research, vol. 9, pp. 1179-1225, 2008.
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 1179-1225
-
-
Bach, F.1
-
8
-
-
46249124832
-
Consistency of trace norm minimization
-
F. Bach, "Consistency of trace norm minimization," Journal of Machine Learning Research, vol. 9, pp. 1019-1048, 2008.
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 1019-1048
-
-
Bach, F.1
-
12
-
-
80052253522
-
Convex optimization with sparsity-inducing norms
-
(S. Sra, S. Nowozin, and S. J. Wright, eds.), MIT Press
-
F. Bach, R. Jenatton, J. Mairal, and G. Obozinski, "Convex optimization with sparsity-inducing norms," in Optimization for Machine Learning, (S. Sra, S. Nowozin, and S. J. Wright, eds.), MIT Press, 2011.
-
(2011)
Optimization for Machine Learning
-
-
Bach, F.1
Jenatton, R.2
Mairal, J.3
Obozinski, G.4
-
13
-
-
14344252374
-
Multiple kernel learning, conic duality, and the SMO algorithm
-
F. Bach, G. R. G. Lanckriet, and M. I. Jordan, "Multiple kernel learning, conic duality, and the SMO algorithm," in Proceedings of the International Conference on Machine Learning (ICML), 2004.
-
(2004)
Proceedings of the International Conference on Machine Learning (ICML)
-
-
Bach, F.1
Lanckriet, G.R.G.2
Jordan, M.I.3
-
15
-
-
77950244328
-
Model-based compressive sensing
-
R. G. Baraniuk, V. Cevher, M. Duarte, and C. Hegde, "Model-based compressive sensing," IEEE Transactions on Information Theory, vol. 56, no. 4, pp. 1982-2001, 2010.
-
(2010)
IEEE Transactions on Information Theory
, vol.56
, Issue.4
, pp. 1982-2001
-
-
Baraniuk, R.G.1
Cevher, V.2
Duarte, M.3
Hegde, C.4
-
16
-
-
0000611135
-
Absolute and monotonic norms
-
F. L. Bauer, J. Stoer, and C. Witzgall, "Absolute and monotonic norms," Numerische Mathematik, vol. 3, no. 1, pp. 257-264, 1961.
-
(1961)
Numerische Mathematik
, vol.3
, Issue.1
, pp. 257-264
-
-
Bauer, F.L.1
Stoer, J.2
Witzgall, C.3
-
17
-
-
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 on Imaging Sciences, vol. 2, no. 1, pp. 183-202, 2009.
-
(2009)
SIAM Journal on Imaging Sciences
, vol.2
, Issue.1
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
19
-
-
68649086910
-
Simultaneous analysis of Lasso and Dantzig selector
-
P. Bickel, Y. Ritov, and A. Tsybakov, "Simultaneous analysis of Lasso and Dantzig selector," Annals of Statistics, vol. 37, no. 4, pp. 1705-1732, 2009.
-
(2009)
Annals of Statistics
, vol.37
, Issue.4
, pp. 1705-1732
-
-
Bickel, P.1
Ritov, Y.2
Tsybakov, A.3
-
21
-
-
0013309537
-
Online algorithms and stochastic approximations
-
L. Bottou, "Online algorithms and stochastic approximations," Online Learning and Neural Networks, vol. 5, 1998.
-
(1998)
Online Learning and Neural Networks
, vol.5
-
-
Bottou, L.1
-
24
-
-
80051762104
-
Distributed optimization and statistical learning via the alternating direction method of multipliers
-
S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, "Distributed optimization and statistical learning via the alternating direction method of multipliers," Foundations and Trends in Machine Learning, vol. 3, no. 1, pp. 1-124, 2011.
-
(2011)
Foundations and Trends in Machine Learning
, vol.3
, Issue.1
, pp. 1-124
-
-
Boyd, S.1
Parikh, N.2
Chu, E.3
Peleato, B.4
Eckstein, J.5
-
27
-
-
0021479943
-
An O(n) algorithm for quadratic knapsack problems
-
P. Brucker, "An O(n) algorithm for quadratic knapsack problems," Operations Research Letters, vol. 3, no. 3, pp. 163-166, 1984.
-
(1984)
Operations Research Letters
, vol.3
, Issue.3
, pp. 163-166
-
-
Brucker, P.1
-
28
-
-
77958497920
-
Dimension reduction: A guided tour
-
C. Burges, "Dimension reduction: A guided tour," Machine Learning, vol. 2, no. 4, pp. 275-365, 2009.
-
(2009)
Machine Learning
, vol.2
, Issue.4
, pp. 275-365
-
-
Burges, C.1
-
29
-
-
77951291046
-
A singular value thresholding algorithm for matrix completion
-
J. F. Cai, E. J. Candès, and Z. Shen, "A singular value thresholding algorithm for matrix completion," SIAM Journal on Optimization, vol. 20, pp. 1956-1982, 2010.
-
(2010)
SIAM Journal on Optimization
, vol.20
, pp. 1956-1982
-
-
Cai, J.F.1
Candès, E.J.2
Shen, Z.3
-
30
-
-
57349174008
-
Enhancing sparsity by reweighted L1 minimization
-
E. J. Candès, M. Wakin, and S. Boyd, "Enhancing sparsity by reweighted L1 minimization," Journal of Fourier Analysis and Applications, vol. 14, no. 5, pp. 877-905, 2008.
-
(2008)
Journal of Fourier Analysis and Applications
, vol.14
, Issue.5
, pp. 877-905
-
-
Candès, E.J.1
Wakin, M.2
Boyd, S.3
-
32
-
-
85161963172
-
Sparse signal recovery using markov random fields
-
V. Cehver, M. Duarte, C. Hedge, and R. G. Baraniuk, "Sparse signal recovery using markov random fields," in Advances in Neural Information Processing Systems (NIPS), 2008.
-
(2008)
Advances in Neural Information Processing Systems (NIPS)
-
-
Cehver, V.1
Duarte, M.2
Hedge, C.3
Baraniuk, R.G.4
-
34
-
-
67349189437
-
On total variation minimization and surface evolution using parametric maximum flows
-
A. Chambolle and J. Darbon, "On total variation minimization and surface evolution using parametric maximum flows," International Journal of Computer Vision, vol. 84, no. 3, pp. 288-307, 2009.
-
(2009)
International Journal of Computer Vision
, vol.84
, Issue.3
, pp. 288-307
-
-
Chambolle, A.1
Darbon, J.2
-
35
-
-
80054829659
-
-
Preprint arXiv:1012.0621
-
V. Chandrasekaran, B. Recht, P. A. Parrilo, and A. S. Willsky, "The convex geometry of linear inverse problems," Preprint arXiv:1012.0621, 2010.
-
(2010)
The Convex Geometry of Linear Inverse Problems
-
-
Chandrasekaran, V.1
Recht, B.2
Parrilo, P.A.3
Willsky, A.S.4
-
36
-
-
0031496462
-
Convergence rates in forward-backward splitting
-
G. H. G. Chen and R. T. Rockafellar, "Convergence rates in forward-backward splitting," SIAM Journal on Optimization, vol. 7, no. 2, pp. 421-444, 1997.
-
(1997)
SIAM Journal on Optimization
, vol.7
, Issue.2
, pp. 421-444
-
-
Chen, G.H.G.1
Rockafellar, R.T.2
-
37
-
-
0032131292
-
Atomic decomposition by basis pursuit
-
PII S1064827596304010
-
S. S. Chen, D. L. Donoho, and M. A. Saunders, "Atomic decomposition by basis pursuit," SIAM Journal on Scientific Computing, vol. 20, pp. 33-61, 1999. (Pubitemid 128689501)
-
(1998)
SIAM Journal of Scientific Computing
, vol.20
, Issue.1
, pp. 33-61
-
-
Chen, S.S.1
Donoho, D.L.2
Saunders, M.A.3
-
39
-
-
30844438177
-
Signal recovery by proximal forwardbackward splitting
-
P. L. Combettes and V. R. Wajs, "Signal recovery by proximal forwardbackward splitting," SIAM Multiscale Modeling and Simulation, vol. 4, no. 4, pp. 1168-1200, 2006.
-
(2006)
SIAM Multiscale Modeling and Simulation
, vol.4
, Issue.4
, pp. 1168-1200
-
-
Combettes, P.L.1
Wajs, V.R.2
-
40
-
-
0033313581
-
Forward sequential algorithms for best basis selection
-
DOI 10.1049/ip-vis:19990445
-
S. F. Cotter, J. Adler, B. Rao, and K. Kreutz-Delgado, "Forward sequential algorithms for best basis selection," in IEEE Proceedings of Vision Image and Signal Processing, pp. 235-244, 1999. (Pubitemid 30534103)
-
(1999)
IEE Proceedings: Vision, Image and Signal Processing
, vol.146
, Issue.5
, pp. 235-244
-
-
Cotter, S.F.1
Adler, J.2
Rao, B.D.3
Kreutz-Delgado, K.4
-
41
-
-
77949704355
-
Iteratively reweighted least squares minimization for sparse recovery
-
I. Daubechies, R. DeVore, M. Fornasier, and C. S. Güntürk, "Iteratively reweighted least squares minimization for sparse recovery," Communications on Pure and Applied Mathematics, vol. 63, no. 1, pp. 1-38, 2010.
-
(2010)
Communications on Pure and Applied Mathematics
, vol.63
, Issue.1
, pp. 1-38
-
-
Daubechies, I.1
Devore, R.2
Fornasier, M.3
Güntürk, C.S.4
-
42
-
-
84950459514
-
Theory and Methods Adapting to Unknown Smoothness via Wavelet Shrinkage
-
D. L. Donoho and I. M. Johnstone, "Adapting to unknown smoothness via wavelet shrinkage," Journal of the American Statistical Association, vol. 90, no. 432, pp. 1200-1224, 1995. (Pubitemid 126093135)
-
(1995)
Journal of the American Statistical Association
, vol.90
, Issue.432
, pp. 1200-1224
-
-
Donoho, D.L.1
Johnstone, I.M.2
-
43
-
-
80052250414
-
Adaptive subgradient methods for online learning and stochastic optimization
-
J. Duchi, E. Hazan, and Y. Singer, "Adaptive subgradient methods for online learning and stochastic optimization," Journal of Machine Learning Research, vol. 12, pp. 2121-2159, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2121-2159
-
-
Duchi, J.1
Hazan, E.2
Singer, Y.3
-
44
-
-
3242708140
-
Least angle regression
-
DOI 10.1214/009053604000000067
-
B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, "Least angle regression," Annals of Statistics, vol. 32, no. 2, pp. 407-499, 2004. (Pubitemid 41250302)
-
(2004)
Annals of Statistics
, vol.32
, Issue.2
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
Ishwaran, H.5
Knight, K.6
Loubes, J.-M.7
Massart, P.8
Madigan, D.9
Ridgeway, G.10
Rosset, S.11
Zhu, J.I.12
Stine, R.A.13
Turlach, B.A.14
Weisberg, S.15
Hastie, T.16
Johnstone, I.17
Tibshirani, R.18
-
45
-
-
33751379736
-
Image denoising via sparse and redundant representations over learned dictionaries
-
DOI 10.1109/TIP.2006.881969
-
M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries," IEEE Transactions on Image Processing, vol. 15, no. 12, pp. 3736-3745, 2006. (Pubitemid 44811686)
-
(2006)
IEEE Transactions on Image Processing
, vol.15
, Issue.12
, pp. 3736-3745
-
-
Elad, M.1
Aharon, M.2
-
46
-
-
0032627073
-
Method of optimal directions for frame design
-
K. Engan, S. O. Aase, and H. Husoy et al., "Method of optimal directions for frame design," in Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1999.
-
(1999)
Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
-
-
Engan, K.1
Aase, S.O.2
Husoy, H.3
-
47
-
-
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, vol. 96, no. 456, pp. 1348-1360, 2001. (Pubitemid 33695585)
-
(2001)
Journal of the American Statistical Association
, vol.96
, Issue.456
, pp. 1348-1360
-
-
Fan, J.1
Li, R.2
-
48
-
-
0034853839
-
A rank minimization heuristic with application to minimum order system approximation
-
M. Fazel, H. Hindi, and S. Boyd, "A rank minimization heuristic with application to minimum order system approximation," in Proceedings of the American Control Conference, vol. 6, pp. 4734-4739, 2001. (Pubitemid 32837075)
-
(2001)
Proceedings of the American Control Conference
, vol.6
, pp. 4734-4739
-
-
Fazel, M.1
Hindi, H.2
Boyd, S.P.3
-
50
-
-
0035470889
-
Greedy function approximation: A gradient boosting machine
-
J. H. Friedman, "Greedy function approximation: a gradient boosting machine," Annals of Statistics, vol. 29, no. 5, pp. 1189-1232, 2001. (Pubitemid 33405972)
-
(2001)
Annals of Statistics
, vol.29
, Issue.5
, pp. 1189-1232
-
-
Friedman, J.H.1
-
51
-
-
0032361278
-
Penalized regressions: The bridge versus the lasso
-
W. J. Fu, "Penalized regressions: The bridge versus the lasso," Journal of Computational and Graphical Statistics, vol. 7, no. 3, pp. 397-416, 1998.
-
(1998)
Journal of Computational and Graphical Statistics
, vol.7
, Issue.3
, pp. 397-416
-
-
Fu, W.J.1
-
52
-
-
70450245260
-
Recovering sparse signals with non-convex penalties and DC programming
-
G. Gasso, A. Rakotomamonjy, and S. Canu, "Recovering sparse signals with non-convex penalties and DC programming," IEEE Transactions on Signal Processing, vol. 57, no. 12, pp. 4686-4698, 2009.
-
(2009)
IEEE Transactions on Signal Processing
, vol.57
, Issue.12
, pp. 4686-4698
-
-
Gasso, G.1
Rakotomamonjy, A.2
Canu, S.3
-
53
-
-
34548105186
-
Large-scale bayesian logistic regression for text categorization
-
DOI 10.1198/004017007000000245
-
A. Genkin, D. D. Lewis, and D. Madigan, "Large-scale bayesian logistic regression for text categorization," Technometrics, vol. 49, no. 3, pp. 291-304, 2007. (Pubitemid 47292487)
-
(2007)
Technometrics
, vol.49
, Issue.3
, pp. 291-304
-
-
Genkin, A.1
Lewis, D.D.2
Madigan, D.3
-
59
-
-
33947690665
-
Sparse approximation via iterative thresholding
-
K. K. Herrity, A. C. Gilbert, and J. A. Tropp, "Sparse approximation via iterative thresholding," in Proceedings of the International Conference on Acoustics, Speech and Signal Processing, (ICASSP), 2006.
-
(2006)
Proceedings of the International Conference on Acoustics, Speech and Signal Processing, (ICASSP)
-
-
Herrity, K.K.1
Gilbert, A.C.2
Tropp, J.A.3
-
61
-
-
77955136689
-
The benefit of group sparsity
-
J. Huang and T. Zhang, "The benefit of group sparsity," Annals of Statistics, vol. 38, no. 4, pp. 1978-2004, 2010.
-
(2010)
Annals of Statistics
, vol.38
, Issue.4
, pp. 1978-2004
-
-
Huang, J.1
Zhang, T.2
-
63
-
-
22944460748
-
Spike and slab variable selection: Frequentist and bayesian strategies
-
DOI 10.1214/009053604000001147
-
H. Ishwaran and J. S. Rao, "Spike and slab variable selection: frequentist and Bayesian strategies," Annals of Statistics, vol. 33, no. 2, pp. 730-773, 2005. (Pubitemid 41053721)
-
(2005)
Annals of Statistics
, vol.33
, Issue.2
, pp. 730-773
-
-
Ishwaran, H.1
Rao, J.S.2
-
66
-
-
80555129673
-
Structured variable selection with sparsity-inducing norms
-
R. Jenatton, J.-Y. Audibert, and F. Bach, "Structured variable selection with sparsity-inducing norms," Journal of Machine Learning Research, vol. 12, pp. 2777-2824, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2777-2824
-
-
Jenatton, R.1
Audibert, J.-Y.2
Bach, F.3
-
67
-
-
80051994858
-
Multi-scale mining of fMRI data with hierarchical structured sparsity
-
R. Jenatton, A. Gramfort, V. Michel, G. Obozinski, F. Bach, and B. Thirion, "Multi-scale mining of fMRI data with hierarchical structured sparsity," in International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2011.
-
(2011)
International Workshop on Pattern Recognition in Neuroimaging (PRNI)
-
-
Jenatton, R.1
Gramfort, A.2
Michel, V.3
Obozinski, G.4
Bach, F.5
Thirion, B.6
-
68
-
-
77956506018
-
Proximal methods for sparse hierarchical dictionary learning
-
R. Jenatton, J. Mairal, G. Obozinski, and F. Bach, "Proximal methods for sparse hierarchical dictionary learning," in Proceedings of the International Conference on Machine Learning (ICML), 2010.
-
(2010)
Proceedings of the International Conference on Machine Learning (ICML)
-
-
Jenatton, R.1
Mairal, J.2
Obozinski, G.3
Bach, F.4
-
69
-
-
80052234083
-
Proximal methods for hierarchical sparse coding
-
R. Jenatton, J. Mairal, G. Obozinski, and F. Bach, "Proximal methods for hierarchical sparse coding," Journal of Machine Learning Research, vol. 12, pp. 2297-2334, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2297-2334
-
-
Jenatton, R.1
Mairal, J.2
Obozinski, G.3
Bach, F.4
-
71
-
-
0014129195
-
Hierarchical clustering schemes
-
S. C. Johnson, "Hierarchical clustering schemes," Psychometrika, vol. 32, no. 3, pp. 241-254, 1967.
-
(1967)
Psychometrika
, vol.32
, Issue.3
, pp. 241-254
-
-
Johnson, S.C.1
-
72
-
-
70450177775
-
Learning invariant features through topographic filter maps
-
K. Kavukcuoglu, M. A. Ranzato, R. Fergus, and Y. LeCun, "Learning invariant features through topographic filter maps," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2009.
-
(2009)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
-
-
Kavukcuoglu, K.1
Ranzato, M.A.2
Fergus, R.3
Lecun, Y.4
-
75
-
-
34547688865
-
1-regularized logistic regression
-
K. Koh, S. J. Kim, and S. Boyd, "An interior-point method for large-scale l1-regularized logistic regression," Journal of Machine Learning Research, vol. 8, no. 8, pp. 1519-1555, 2007. (Pubitemid 47210273)
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 1519-1555
-
-
Koh, K.1
Kim, S.-J.2
Boyd, S.3
-
76
-
-
21244437589
-
Sparse multinomial logistic regression: Fast algorithms and generalization bounds
-
DOI 10.1109/TPAMI.2005.127
-
B. Krishnapuram, L. Carin, M. A. T. Figueiredo, and A. J. Hartemink, "Sparse multinomial logistic regression: Fast algorithms and generalization bounds," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 6, pp. 957-968, 2005. (Pubitemid 40889845)
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.6
, pp. 957-968
-
-
Krishnapuram, B.1
Carin, L.2
Figueiredo, M.A.T.3
Hartemink, A.J.4
-
77
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
G. R. G. Lanckriet, N. Cristianini, L. El Ghaoui, P. Bartlett, and M. I. Jordan, "Learning the kernel matrix with semidefinite programming," Journal of Machine Learning Research, vol. 5, pp. 27-72, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 27-72
-
-
Lanckriet, G.R.G.1
Cristianini, N.2
El Ghaoui, L.3
Bartlett, P.4
Jordan, M.I.5
-
78
-
-
8844263749
-
A statistical framework for genomic data fusion
-
DOI 10.1093/bioinformatics/bth294
-
G. R. G. Lanckriet, T. De Bie, N. Cristianini, M. I. Jordan, and W. S. Noble, "A statistical framework for genomic data fusion," Bioinformatics, vol. 20, pp. 2626-2635, 2004. (Pubitemid 39530149)
-
(2004)
Bioinformatics
, vol.20
, Issue.16
, pp. 2626-2635
-
-
Lanckriet, G.R.G.1
De Bie, T.2
Cristianini, N.3
Jordan, M.I.4
Noble, S.5
-
79
-
-
84864036295
-
Efficient sparse coding algorithms
-
H. Lee, A. Battle, R. Raina, and A. Y. Ng, "Efficient sparse coding algorithms," in Advances in Neural Information Processing Systems (NIPS), 2007.
-
(2007)
Advances in Neural Information Processing Systems (NIPS)
-
-
Lee, H.1
Battle, A.2
Raina, R.3
Ng, A.Y.4
-
80
-
-
80051647466
-
Itakura-Saito nonnegative matrix factorization with group sparsity
-
A. Lefèvre, F. Bach, and C. Févotte, "Itakura-Saito nonnegative matrix factorization with group sparsity," in Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011.
-
(2011)
Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP)
-
-
Lefèvre, A.1
Bach, F.2
Févotte, C.3
-
81
-
-
0000345334
-
Splitting algorithms for the sum of two nonlinear operators
-
P. L. Lions and B. Mercier, "Splitting algorithms for the sum of two nonlinear operators," SIAM Journal on Numerical Analysis, vol. 16, no. 6, pp. 964-979, 1979.
-
(1979)
SIAM Journal on Numerical Analysis
, vol.16
, Issue.6
, pp. 964-979
-
-
Lions, P.L.1
Mercier, B.2
-
82
-
-
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 Proceedings of the International Conference on Machine Learning (ICML), 2009.
-
(2009)
Proceedings of the International Conference on Machine Learning (ICML)
-
-
Liu, H.1
Palatucci, M.2
Zhang, J.3
-
84
-
-
0024716617
-
A linear-time median-finding algorithm for projecting a vector on the simplex of Rn
-
N. Maculan and G. Galdino de Paula, "A linear-time median-finding algorithm for projecting a vector on the simplex of Rn," Operations Research Letters, vol. 8, no. 4, pp. 219-222, 1989.
-
(1989)
Operations Research Letters
, vol.8
, Issue.4
, pp. 219-222
-
-
MacUlan, N.1
Paula De G.Galdino2
-
86
-
-
76749107542
-
Online learning for matrix factorization and sparse coding
-
J. Mairal, F. Bach, J. Ponce, and G. Sapiro, "Online learning for matrix factorization and sparse coding," Journal of Machine Learning Research, vol. 11, pp. 19-60, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 19-60
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
Sapiro, G.4
-
87
-
-
85161999697
-
Network flow algorithms for structured sparsity
-
J. Mairal, R. Jenatton, G. Obozinski, and F. Bach, "Network flow algorithms for structured sparsity," in Advances in Neural Information Processing Systems (NIPS), 2010.
-
(2010)
Advances in Neural Information Processing Systems (NIPS)
-
-
Mairal, J.1
Jenatton, R.2
Obozinski, G.3
Bach, F.4
-
88
-
-
80555129671
-
Convex and network flow optimization for structured sparsity
-
J. Mairal, R. Jenatton, G. Obozinski, and F. Bach, "Convex and network flow optimization for structured sparsity," Journal of Machine Learning Research, vol. 12, pp. 2681-2720, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2681-2720
-
-
Mairal, J.1
Jenatton, R.2
Obozinski, G.3
Bach, F.4
-
89
-
-
0027842081
-
Matching pursuit in a time-frequency dictionary
-
S. Mallat and Z. Zhang, "Matching pursuit in a time-frequency dictionary," IEEE Transactions on Signal Processing, vol. 41, no. 12, pp. 3397-3415, 1993.
-
(1993)
IEEE Transactions on Signal Processing
, vol.41
, Issue.12
, pp. 3397-3415
-
-
Mallat, S.1
Zhang, Z.2
-
90
-
-
84995186518
-
Portfolio selection
-
H. Markowitz, "Portfolio selection," Journal of Finance, vol. 7, no. 1, pp. 77-91, 1952.
-
(1952)
Journal of Finance
, vol.7
, Issue.1
, pp. 77-91
-
-
Markowitz, H.1
-
92
-
-
80053264451
-
Structured sparsity in structured prediction
-
A. F. T. Martins, N. A. Smith, P. M. Q. Aguiar, and M. A. T. Figueiredo, "Structured sparsity in structured prediction," in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2011.
-
(2011)
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)
-
-
Martins, A.F.T.1
Smith, N.A.2
Aguiar, P.M.Q.3
Figueiredo, M.A.T.4
-
94
-
-
0041356704
-
Fonctions convexes duales et points proximaux dans un espace hilbertien
-
J. J. Moreau, "Fonctions convexes duales et points proximaux dans un espace hilbertien," Comptes-Rendus de l'Académie des Sciences de Paris, Série A, Mathématiques, vol. 255, pp. 2897-2899, 1962.
-
(1962)
Comptes-Rendus de l'Académie des Sciences de Paris, Série A, Mathématiques
, vol.255
, pp. 2897-2899
-
-
Moreau, J.J.1
-
95
-
-
78049443983
-
Solving structured sparsity regularization with proximal methods
-
S. Mosci, L. Rosasco, M. Santoro, A. Verri, and S. Villa, "Solving structured sparsity regularization with proximal methods," Machine Learning and Knowledge Discovery in Databases, pp. 418-433, 2010.
-
(2010)
Machine Learning and Knowledge Discovery in Databases
, pp. 418-433
-
-
Mosci, S.1
Rosasco, L.2
Santoro, M.3
Verri, A.4
Villa, S.5
-
96
-
-
0029291966
-
Sparse approximate solutions to linear systems
-
B. K. Natarajan, "Sparse approximate solutions to linear systems," SIAM Journal on Computing, vol. 24, pp. 227-234, 1995.
-
(1995)
SIAM Journal on Computing
, vol.24
, pp. 227-234
-
-
Natarajan, B.K.1
-
98
-
-
62749175137
-
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
-
D. Needell and J. Tropp, "CoSaMP: Iterative signal recovery from incomplete and inaccurate samples," Applied and Computational Harmonic Analysis, vol. 26, no. 3, pp. 301-321, 2009.
-
(2009)
Applied and Computational Harmonic Analysis
, vol.26
, Issue.3
, pp. 301-321
-
-
Needell, D.1
Tropp, J.2
-
99
-
-
84858717588
-
A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers
-
S. Negahban, P. Ravikumar, M. J. Wainwright, and B. Yu, "A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers," in Advances in Neural Information Processing Systems (NIPS), 2009.
-
(2009)
Advances in Neural Information Processing Systems (NIPS)
-
-
Negahban, S.1
Ravikumar, P.2
Wainwright, M.J.3
Yu, B.4
-
101
-
-
17444406259
-
Smooth minimization of non-smooth functions
-
DOI 10.1007/s10107-004-0552-5
-
Y. Nesterov, "Smooth minimization of non-smooth functions," Mathematical Programming, vol. 103, no. 1, pp. 127-152, 2005. (Pubitemid 40537674)
-
(2005)
Mathematical Programming
, vol.103
, Issue.1
, pp. 127-152
-
-
Nesterov, Yu.1
-
102
-
-
67651063011
-
-
Technical Report, Center for Operations Research and Econometrics (CORE), Catholic University of Louvain, Discussion paper
-
Y. Nesterov, "Gradient methods for minimizing composite objective function," Technical Report, Center for Operations Research and Econometrics (CORE), Catholic University of Louvain, Discussion paper, 2007.
-
(2007)
Gradient Methods for Minimizing Composite Objective Function
-
-
Nesterov, Y.1
-
103
-
-
77956642913
-
-
Technical Report, Center for Operations Research and Econometrics (CORE), Catholic University of Louvain, Discussion paper
-
Y. Nesterov, "Efficiency of coordinate descent methods on huge-scale optimization problems," Technical Report, Center for Operations Research and Econometrics (CORE), Catholic University of Louvain, Discussion paper, 2010.
-
(2010)
Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems
-
-
Nesterov, Y.1
-
106
-
-
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, vol. 20, no. 2, pp. 231-252, 2009.
-
(2009)
Statistics and Computing
, vol.20
, Issue.2
, pp. 231-252
-
-
Obozinski, G.1
Taskar, B.2
Jordan, M.I.3
-
107
-
-
0029938380
-
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
-
DOI 10.1038/381607a0
-
B. A. Olshausen and D. J. Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature, vol. 381, pp. 607-609, 1996. (Pubitemid 26177476)
-
(1996)
Nature
, vol.381
, Issue.6583
, pp. 607-609
-
-
Olshausen, B.A.1
Field, D.J.2
-
108
-
-
23044520947
-
On the Lasso and its dual
-
M. R. Osborne, B. Presnell, and B. A. Turlach, "On the Lasso and its dual," Journal of Computational and Graphical Statistics, vol. 9, no. 2, pp. 319-337, 2000.
-
(2000)
Journal of Computational and Graphical Statistics
, vol.9
, Issue.2
, pp. 319-337
-
-
Osborne, M.R.1
Presnell, B.2
Turlach, B.A.3
-
110
-
-
57249084590
-
SimpleMKL
-
A. Rakotomamonjy, F. Bach, S. Canu, and Y. Grandvalet, "SimpleMKL," Journal of Machine Learning Research, vol. 9, pp. 2491-2521, 2008.
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 2491-2521
-
-
Rakotomamonjy, A.1
Bach, F.2
Canu, S.3
Grandvalet, Y.4
-
111
-
-
84856264699
-
Convex approaches to model wavelet sparsity patterns
-
N. S. Rao, R. D. Nowak, S. J. Wright, and N. G. Kingsbury, "Convex approaches to model wavelet sparsity patterns," in International Conference on Image Processing (ICIP), 2011.
-
(2011)
International Conference on Image Processing (ICIP)
-
-
Rao, N.S.1
Nowak, R.D.2
Wright, S.J.3
Kingsbury, N.G.4
-
112
-
-
46249091578
-
Classification of arrayCGH data using fused SVM
-
F. Rapaport, E. Barillot, and J.-P. Vert, "Classification of arrayCGH data using fused SVM," Bioinformatics, vol. 24, no. 13, pp. 375-382, 2008.
-
(2008)
Bioinformatics
, vol.24
, Issue.13
, pp. 375-382
-
-
Rapaport, F.1
Barillot, E.2
Vert, J.-P.3
-
113
-
-
70350092487
-
Sparse additive models
-
P. Ravikumar, J. Lafferty, H. Liu, and L. Wasserman, "Sparse additive models," Journal of the Royal Statistical Society. Series B, statistical methodology, vol. 71, pp. 1009-1030, 2009.
-
(2009)
Journal of the Royal Statistical Society. Series B, Statistical Methodology
, vol.71
, pp. 1009-1030
-
-
Ravikumar, P.1
Lafferty, J.2
Liu, H.3
Wasserman, L.4
-
114
-
-
34250906530
-
Ein verfahren zur lösung parameterabhängiger nichtlinearer maximum-probleme
-
K. Ritter, "Ein verfahren zur lösung parameterabhängiger, nichtlinearer maximum-probleme," Mathematical Methods of Operations Research, vol. 6, no. 4, pp. 149-166, 1962.
-
(1962)
Mathematical Methods of Operations Research
, vol.6
, Issue.4
, pp. 149-166
-
-
Ritter, K.1
-
117
-
-
44049111982
-
Nonlinear total variation based noise removal algorithms
-
L. I. Rudin, S. Osher, and E. Fatemi, "Nonlinear total variation based noise removal algorithms," Physica D: Nonlinear Phenomena, vol. 60, no. 1-4, pp. 259-268, 1992.
-
(1992)
Physica D: Nonlinear Phenomena
, vol.60
, Issue.1-4
, pp. 259-268
-
-
Rudin, L.I.1
Osher, S.2
Fatemi, E.3
-
119
-
-
84857722294
-
Projected Newton-type methods in machine learning
-
(S. Sra, S. Nowozin, and S. J. Wright, eds.), MIT Press
-
M. Schmidt, D. Kim, and S. Sra, "Projected Newton-type methods in machine learning," in Optimization for Machine Learning, (S. Sra, S. Nowozin, and S. J. Wright, eds.), MIT Press, 2011.
-
(2011)
Optimization for Machine Learning
-
-
Schmidt, M.1
Kim, D.2
Sra, S.3
-
123
-
-
44649181578
-
Bayesian inference and optimal design for the sparse linear model
-
M. W. Seeger, "Bayesian inference and optimal design for the sparse linear model," Journal of Machine Learning Research, vol. 9, pp. 759-813, 2008.
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 759-813
-
-
Seeger, M.W.1
-
127
-
-
0345327592
-
A simple and efficient algorithm for gene selection using sparse logistic regression
-
DOI 10.1093/bioinformatics/btg308
-
S. K. Shevade and S. S. Keerthi, "A simple and efficient algorithm for gene selection using sparse logistic regression," Bioinformatics, vol. 19, no. 17, pp. 2246-2253, 2003. Oxford Univ Press. (Pubitemid 37483982)
-
(2003)
Bioinformatics
, vol.19
, Issue.17
, pp. 2246-2253
-
-
Shevade, S.K.1
Keerthi, S.S.2
-
128
-
-
33745776113
-
Large scale multiple kernel learning
-
S. Sonnenburg, G. Rätsch, C. Schäfer, and B. Schölkopf, "Large scale multiple kernel learning," Journal of Machine Learning Research, vol. 7, pp. 1531-1565, 2006. (Pubitemid 44373694)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1531-1565
-
-
Sonnenburg, S.1
Ratsch, G.2
Schafer, C.3
Scholkopf, B.4
-
129
-
-
80051715215
-
C-HiLasso: A collaborative hierarchical sparse modeling framework
-
P. Sprechmann, I. Ramirez, G. Sapiro, and Y. C. Eldar, "C-HiLasso: A collaborative hierarchical sparse modeling framework," IEEE Transactions on Signal Processing, vol. 59, no. 9, pp. 4183-4198, 2011.
-
(2011)
IEEE Transactions on Signal Processing
, vol.59
, Issue.9
, pp. 4183-4198
-
-
Sprechmann, P.1
Ramirez, I.2
Sapiro, G.3
Eldar, Y.C.4
-
131
-
-
80053050350
-
SpicyMKL: A fast algorithm for multiple kernel learning with thousands of kernels
-
T. Suzuki and R. Tomioka, "SpicyMKL: A fast algorithm for multiple kernel learning with thousands of kernels," Machine Learning, vol. 85, pp. 77-108, 2011.
-
(2011)
Machine Learning
, vol.85
, pp. 77-108
-
-
Suzuki, T.1
Tomioka, R.2
-
133
-
-
85194972808
-
Regression shrinkage and selection via the Lasso
-
R. Tibshirani, "Regression shrinkage and selection via the Lasso," Journal of the Royal Statistical Society Series B, vol. 58, no. 1, pp. 267-288, 1996.
-
(1996)
Journal of the Royal Statistical Society Series B
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
134
-
-
12844266177
-
Sparsity and smoothness via the fused lasso
-
DOI 10.1111/j.1467-9868.2005.00490.x
-
R. Tibshirani, M. Saunders, S. Rosset, J. Zhu, and K. Knight, "Sparsity and smoothness via the fused Lasso," Journal of the Royal Statistical Society Series B, vol. 67, no. 1, pp. 91-108, 2005. (Pubitemid 40167043)
-
(2005)
Journal of the Royal Statistical Society. Series B: Statistical Methodology
, vol.67
, Issue.1
, pp. 91-108
-
-
Tibshirani, R.1
Saunders, M.2
Rosset, S.3
Zhu, J.4
Knight, K.5
-
135
-
-
79960136188
-
Augmented Lagrangian methods for learning, selecting and combining features
-
(S. Sra, S. Nowozin, and S. J. Wright, eds.), MIT Press
-
R. Tomioka, T. Suzuki, and M. Sugiyama, "Augmented Lagrangian methods for learning, selecting and combining features," in Optimization for Machine Learning, (S. Sra, S. Nowozin, and S. J. Wright, eds.), MIT Press, 2011.
-
(2011)
Optimization for Machine Learning
-
-
Tomioka, R.1
Suzuki, T.2
Sugiyama, M.3
-
136
-
-
5444237123
-
Greed is good: Algorithmic results for sparse approximation
-
J. A. Tropp, "Greed is good: Algorithmic results for sparse approximation," IEEE Transactions on Signal Processing, vol. 50, no. 10, pp. 2231-2242, 2004.
-
(2004)
IEEE Transactions on Signal Processing
, vol.50
, Issue.10
, pp. 2231-2242
-
-
Tropp, J.A.1
-
137
-
-
30844445842
-
Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit
-
DOI 10.1016/j.sigpro.2005.05.030, PII S0165168405002227, Sparse Approximations in Signal and Image Processing
-
J. A. Tropp, A. C. Gilbert, and M. J. Strauss, "Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit," Signal Processing, Special Issue "Sparse Approximations in Signal and Image Processing", vol. 86, pp. 572-588, 2006. (Pubitemid 43106572)
-
(2006)
Signal Processing
, vol.86
, Issue.3
, pp. 572-588
-
-
Tropp, J.A.1
Gilbert, A.C.2
Strauss, M.J.3
-
138
-
-
0026077016
-
Applications of a splitting algorithm to decomposition in convex programming and variational inequalities
-
P. Tseng, "Applications of a splitting algorithm to decomposition in convex programming and variational inequalities," SIAM Journal on Control and Optimization, vol. 29, pp. 119-138, 1991.
-
(1991)
SIAM Journal on Control and Optimization
, vol.29
, pp. 119-138
-
-
Tseng, P.1
-
139
-
-
70049111607
-
On accelerated proximal gradient methods for convex-concave optimization
-
P. Tseng, "On accelerated proximal gradient methods for convex-concave optimization," submitted to SIAM Journal on Optimization, 2008.
-
(2008)
SIAM Journal on Optimization
-
-
Tseng, P.1
-
140
-
-
46749146509
-
A coordinate gradient descent method for nonsmooth separable minimization
-
P. Tseng and S. Yun, "A coordinate gradient descent method for nonsmooth separable minimization," Mathematical Programming, vol. 117, no. 1, pp. 387-423, 2009.
-
(2009)
Mathematical Programming
, vol.117
, Issue.1
, pp. 387-423
-
-
Tseng, P.1
Yun, S.2
-
141
-
-
23844431650
-
Simultaneous variable selection
-
DOI 10.1198/004017005000000139
-
B. A. Turlach, W. N. Venables, and S. J. Wright, "Simultaneous variable selection," Technometrics, vol. 47, no. 3, pp. 349-363, 2005. (Pubitemid 41164070)
-
(2005)
Technometrics
, vol.47
, Issue.3
, pp. 349-363
-
-
Turlach, B.A.1
Venables, W.N.2
Wright, S.J.3
-
142
-
-
77953223857
-
-
Technical report, University of British Columbia, Technical Report number TR-2008-09
-
E. Van den Berg, M. Schmidt, M. P. Friedlander, and K. Murphy, "Group sparsity via linear-time projections," Technical report, University of British Columbia, Technical Report number TR-2008-09, 2008.
-
(2008)
Group Sparsity Via Linear-time Projections
-
-
Berg Den E.Van1
Schmidt, M.2
Friedlander, M.P.3
Murphy, K.4
-
143
-
-
80555141638
-
Sparse structured dictionary learning for brain resting-state activity modeling
-
G. Varoquaux, R. Jenatton, A. Gramfort, G. Obozinski, B. Thirion, and F. Bach, "Sparse structured dictionary learning for brain resting-state activity modeling," in NIPS Workshop on Practical Applications of Sparse Modeling: Open Issues and New Directions, 2010.
-
(2010)
NIPS Workshop on Practical Applications of Sparse Modeling: Open Issues and New Directions
-
-
Varoquaux, G.1
Jenatton, R.2
Gramfort, A.3
Obozinski, G.4
Thirion, B.5
Bach, F.6
-
148
-
-
3543103176
-
-
D. P. Wipf and B. D. Rao, "Sparse bayesian learning for basis selection," vol. 52, no. 8, pp. 2153-2164, 2004.
-
(2004)
Sparse Bayesian Learning for Basis Selection
, vol.52
, Issue.8
, pp. 2153-2164
-
-
Wipf, D.P.1
Rao, B.D.2
-
149
-
-
61549128441
-
Robust face recognition via sparse representation
-
J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 210-227, 2009.
-
(2009)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.31
, Issue.2
, pp. 210-227
-
-
Wright, J.1
Yang, A.Y.2
Ganesh, A.3
Sastry, S.S.4
Ma, Y.5
-
151
-
-
67650178787
-
Sparse reconstruction by separable approximation
-
S. J. Wright, R. D. Nowak, and M. A. T. Figueiredo, "Sparse reconstruction by separable approximation," IEEE Transactions on Signal Processing, vol. 57, no. 7, pp. 2479-2493, 2009.
-
(2009)
IEEE Transactions on Signal Processing
, vol.57
, Issue.7
, pp. 2479-2493
-
-
Wright, S.J.1
Nowak, R.D.2
Figueiredo, M.A.T.3
-
152
-
-
84863879353
-
Coordinate descent algorithms for lasso penalized regression
-
T. T. Wu and K. Lange, "Coordinate descent algorithms for lasso penalized regression," Annals of Applied Statistics, vol. 2, no. 1, pp. 224-244, 2008.
-
(2008)
Annals of Applied Statistics
, vol.2
, Issue.1
, pp. 224-244
-
-
Wu, T.T.1
Lange, K.2
-
153
-
-
78649396336
-
Dual averaging methods for regularized stochastic learning and online optimization
-
L. Xiao, "Dual averaging methods for regularized stochastic learning and online optimization," Journal of Machine Learning Research, vol. 9, pp. 2543-2596, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.9
, pp. 2543-2596
-
-
Xiao, L.1
-
155
-
-
84857719183
-
-
Technical Report, Department of Computer Science, National University of Taiwan
-
G. X. Yuan, K. W. Chang, C. J. Hsieh, and C. J. Lin, "A comparison of optimization methods for large-scale l1-regularized linear classification," Technical Report, Department of Computer Science, National University of Taiwan, 2010.
-
(2010)
A Comparison of Optimization Methods for Large-scale l1-regularized Linear Classification
-
-
Yuan, G.X.1
Chang, K.W.2
Hsieh, C.J.3
Lin, C.J.4
-
156
-
-
33645035051
-
Model selection and estimation in regression with grouped variables
-
DOI 10.1111/j.1467-9868.2005.00532.x
-
M. Yuan and Y. Lin, "Model selection and estimation in regression with grouped variables," Journal of the Royal Statistical Society Series B, vol. 68, pp. 49-67, 2006. (Pubitemid 43415335)
-
(2006)
Journal of the Royal Statistical Society. Series B: Statistical Methodology
, vol.68
, Issue.1
, pp. 49-67
-
-
Yuan, M.1
Lin, Y.2
-
157
-
-
69949155103
-
The composite absolute penalties family for grouped and hierarchical variable selection
-
P. Zhao, G. Rocha, and B. Yu, "The composite absolute penalties family for grouped and hierarchical variable selection," Annals of Statistics, vol. 37, no. 6A, pp. 3468-3497, 2009.
-
(2009)
Annals of Statistics
, vol.37
, Issue.6 A
, pp. 3468-3497
-
-
Zhao, P.1
Rocha, G.2
Yu, B.3
-
158
-
-
33845263263
-
On model selection consistency of Lasso
-
P. Zhao and B. Yu, "On model selection consistency of Lasso," Journal of Machine Learning Research, vol. 7, pp. 2541-2563, 2006. (Pubitemid 44866738)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2541-2563
-
-
Zhao, P.1
Yu, B.2
-
159
-
-
16244401458
-
Regularization and variable selection via the elastic net
-
DOI 10.1111/j.1467-9868.2005.00503.x
-
H. Zou and T. Hastie, "Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, vol. 67, no. 2, pp. 301-320, 2005. (Pubitemid 40465877)
-
(2005)
Journal of the Royal Statistical Society. Series B: Statistical Methodology
, vol.67
, Issue.2
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
|