-
1
-
-
46249088758
-
Consistency of the group lasso and multiple kernel learning
-
1225.68147 2417268
-
Bach, F.: Consistency of the group lasso and multiple kernel learning. J. Mach. Learn. Res. 9, 1179-1225 (2008)
-
(2008)
J. Mach. Learn. Res.
, vol.9
, pp. 1179-1225
-
-
Bach, F.1
-
2
-
-
14344252374
-
Multiple kernel learning, conic duality, and the smo algorithm
-
ACM International Conference Proceeding Series 69
-
Bach, F.R., Lanckriet, G., Jordan, M.I.: Multiple kernel learning, conic duality, and the smo algorithm. In: ICML. ACM International Conference Proceeding Series, vol. 69 (2004)
-
(2004)
ICML
-
-
Bach, F.R.1
Lanckriet, G.2
Jordan, M.I.3
-
3
-
-
84857710417
-
Optimization with sparsity-inducing penalties
-
10.1561/2200000015
-
Bach, F., Jenatton, R., Mairal, J., Obozinski, G.: Optimization with sparsity-inducing penalties. Found. Trends Mach. Learn. 4(1), 1-106 (2012)
-
(2012)
Found. Trends Mach. Learn.
, vol.4
, Issue.1
, pp. 1-106
-
-
Bach, F.1
Jenatton, R.2
Mairal, J.3
Obozinski, G.4
-
4
-
-
0030586523
-
The approximation of fixed points of compositions of nonexpansive mappings in Hilbert space
-
10.1006/jmaa.1996.0308 1402593
-
Bauschke, H.: The approximation of fixed points of compositions of nonexpansive mappings in Hilbert space. J. Math. Anal. Appl. 202(1), 150-159 (1994)
-
(1994)
J. Math. Anal. Appl.
, vol.202
, Issue.1
, pp. 150-159
-
-
Bauschke, H.1
-
6
-
-
85014561619
-
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
-
10.1137/080716542 1175.94009 2486527
-
Beck, A., 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
-
7
-
-
79551550744
-
NESTA: A fast and accurate first-order method for sparse recovery
-
10.1137/090756855 2765668
-
Becker, S., Bobin, J., Candes, E.: NESTA: A fast and accurate first-order method for sparse recovery. SIAM J. Imaging Sci. 4(1), 1-39 (2009)
-
(2009)
SIAM J. Imaging Sci.
, vol.4
, Issue.1
, pp. 1-39
-
-
Becker, S.1
Bobin, J.2
Candes, E.3
-
8
-
-
0000377218
-
Projected Newton methods for optimization problems with simple constraints
-
10.1137/0320018 0507.49018 646950
-
Bertsekas, D.: Projected Newton methods for optimization problems with simple constraints. SIAM J. Control Optim. 20(2), 221-246 (1982)
-
(1982)
SIAM J. Control Optim.
, vol.20
, Issue.2
, pp. 221-246
-
-
Bertsekas, D.1
-
9
-
-
0002436271
-
A method for finding projections onto the intersection of convex sets in Hilbert spaces
-
R. Dykstra T. Robertson F. Wright (eds) Lecture Notes in Statistics 37 Springer Berlin 10.1007/978-1-4613-9940-7-3
-
Boyle, J., Dykstra, R.: A method for finding projections onto the intersection of convex sets in Hilbert spaces. In: Dykstra, R., Robertson, T., Wright, F. (eds.) Advances in Order Restricted Statistical Inference. Lecture Notes in Statistics, vol. 37, pp. 28-48. Springer, Berlin (1985)
-
(1985)
Advances in Order Restricted Statistical Inference
, pp. 28-48
-
-
Boyle, J.1
Dykstra, R.2
-
10
-
-
0018732237
-
An algorithm for minimizing a differentiable function subject to box constraints and errors
-
10.1007/BF00934451 0387.65038 552105
-
Brayton, R., Cullum, J.: An algorithm for minimizing a differentiable function subject to box constraints and errors. J. Optim. Theory Appl. 29, 521-558 (1979)
-
(1979)
J. Optim. Theory Appl.
, vol.29
, pp. 521-558
-
-
Brayton, R.1
Cullum, J.2
-
11
-
-
79953201848
-
A first-order primal-dual algorithm for convex problems with applications to imaging
-
10.1007/s10851-010-0251-1 1255.68217 2782122
-
Chambolle, A., Pock, T.: A first-order primal-dual algorithm for convex problems with applications to imaging. J. Math. Imaging Vis. 40(1), 120-145 (2011)
-
(2011)
J. Math. Imaging Vis.
, vol.40
, Issue.1
, pp. 120-145
-
-
Chambolle, A.1
Pock, T.2
-
12
-
-
0032131292
-
Atomic decomposition by basis pursuit
-
0919.94002 1639094
-
Chen, S., Donoho, D., Saunders, M.: Atomic decomposition by basis pursuit. SIAM J. Sci. Comput. 20(1), 33-61 (1999)
-
(1999)
SIAM J. Sci. Comput.
, vol.20
, Issue.1
, pp. 33-61
-
-
Chen, S.1
Donoho, D.2
Saunders, M.3
-
13
-
-
84866248858
-
Smoothing proximal gradient method for general structured sparse regression
-
10.1214/11-AOAS514 2976489
-
Chen, X., Lin, Q., Kim, S., Carbonell, J., Xing, E.P.: Smoothing proximal gradient method for general structured sparse regression. Ann. Appl. Stat. 6(2), 719-752 (2012)
-
(2012)
Ann. Appl. Stat.
, vol.6
, Issue.2
, pp. 719-752
-
-
Chen, X.1
Lin, Q.2
Kim, S.3
Carbonell, J.4
Xing, E.P.5
-
14
-
-
30844438177
-
Signal recovery by proximal forward-backward splitting
-
10.1137/050626090 1179.94031 2203849 (electronic)
-
Combettes, P.L., Wajs, V.R.: Signal recovery by proximal forward-backward splitting. Multiscale Model. Simul. 4(4), 1168-1200 (2005) (electronic)
-
(2005)
Multiscale Model. Simul.
, vol.4
, Issue.4
, pp. 1168-1200
-
-
Combettes, P.L.1
Wajs, V.R.2
-
16
-
-
75249102673
-
Efficient online and batch learning using forward backward splitting
-
1235.62151 2579916
-
Duchi, J., Singer, Y.: Efficient online and batch learning using forward backward splitting. J. Mach. Learn. Res. 10, 2899-2934 (2009)
-
(2009)
J. Mach. Learn. Res.
, vol.10
, pp. 2899-2934
-
-
Duchi, J.1
Singer, Y.2
-
17
-
-
3242708140
-
Least angle regression
-
10.1214/009053604000000067 1091.62054 2060166
-
Efron, B., Hastie, T., Johnstone, I., Tibshirani, R.: Least angle regression. Ann. Stat. 32, 407-499 (2004)
-
(2004)
Ann. Stat.
, vol.32
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
19
-
-
57349127864
-
Accelerated projected gradient methods for linear inverse problems with sparsity constraints
-
Fornasier, M., Daubechies, I., Loris, I.: Accelerated projected gradient methods for linear inverse problems with sparsity constraints. J. Fourier Anal. Appl. (2008)
-
(2008)
J. Fourier Anal. Appl.
-
-
Fornasier, M.1
Daubechies, I.2
Loris, I.3
-
20
-
-
69649095451
-
Fixed-point continuation for l1-minimization: Methodology and convergence
-
10.1137/070698920 1180.65076 2460734
-
Hale, E.T., Yin, W., Zhang, Y.: Fixed-point continuation for l1-minimization: methodology and convergence. SIAM J. Optim. 19(3), 1107-1130 (2008)
-
(2008)
SIAM J. Optim.
, vol.19
, Issue.3
, pp. 1107-1130
-
-
Hale, E.T.1
Yin, W.2
Zhang, Y.3
-
21
-
-
71149113559
-
Group lasso with overlap and graph lasso
-
Jacob, L., Obozinski, G., Vert, J.-P.: Group lasso with overlap and graph lasso. In: Proceedings of the 26th International Annual Conference on Machine Learning, pp. 433-440 (2009)
-
(2009)
Proceedings of the 26th International Annual Conference on Machine Learning
, pp. 433-440
-
-
Jacob, L.1
Obozinski, G.2
Vert, J.-P.3
-
22
-
-
78650920797
-
Dequantizing compressed sensing: When oversampling and non-Gaussian constraints combine
-
10.1109/TIT.2010.2093310 2814072
-
Jacques, L., Hammond, D., Fadili, J.: Dequantizing compressed sensing: when oversampling and non-Gaussian constraints combine. IEEE Trans. Inf. Theory 57(1), 559-571 (2011)
-
(2011)
IEEE Trans. Inf. Theory
, vol.57
, Issue.1
, pp. 559-571
-
-
Jacques, L.1
Hammond, D.2
Fadili, J.3
-
23
-
-
70049092408
-
Structured variable selection with sparsity-inducing norms
-
Jenatton, R., Audibert, J.-Y., Bach, F.: Structured variable selection with sparsity-inducing norms. Technical report, INRIA (2009)
-
(2009)
Technical Report, INRIA
-
-
Jenatton, R.1
Audibert, J.-Y.2
Bach, F.3
-
26
-
-
85161999697
-
Network flow algorithms for structured sparsity
-
Mairal, J., Jenatton, R., Obozinski, G., Bach, F.: Network flow algorithms for structured sparsity. Adv. Neural Inf. Process. Syst. (2010)
-
(2010)
Adv. Neural Inf. Process. Syst.
-
-
Mairal, J.1
Jenatton, R.2
Obozinski, G.3
Bach, F.4
-
27
-
-
37849035696
-
The group lasso for logistic regression
-
10.1111/j.1467-9868.2007.00627.x 05563343
-
Meier, L., van de Geer, S., Buhlmann, P.: The group lasso for logistic regression. J. R. Stat. Soc. B 70, 53-71 (2008)
-
(2008)
J. R. Stat. Soc. B
, vol.70
, pp. 53-71
-
-
Meier, L.1
Van De Geer, S.2
Buhlmann, P.3
-
28
-
-
23244434257
-
Learning the kernel function via regularization
-
1222.68265 2249850
-
Micchelli, C.A., Pontil, M.: Learning the kernel function via regularization. J. Mach. Learn. Res. 6, 1099-1125 (2005)
-
(2005)
J. Mach. Learn. Res.
, vol.6
, pp. 1099-1125
-
-
Micchelli, C.A.1
Pontil, M.2
-
29
-
-
0041356704
-
Fonctions convexes duales et points proximaux dans un espace hilbertien
-
0118.10502 144188
-
Moreau, J.-J.: Fonctions convexes duales et points proximaux dans un espace hilbertien. C. R. Acad. Sci. Paris 255, 2897-2899 (1962)
-
(1962)
C. R. Acad. Sci. Paris
, vol.255
, pp. 2897-2899
-
-
Moreau, J.-J.1
-
30
-
-
78049443983
-
Solving structured sparsity regularization with proximal methods
-
J. Balcázar F. Bonchi A. Gionis M. Sebag (eds) Lecture Notes in Computer Science 6322 Springer Berlin 10.1007/978-3-642-15883-4-27
-
Mosci, S., Rosasco, L., Santoro, M., Verri, A., Villa, S.: Solving structured sparsity regularization with proximal methods. In: Balcázar, J., Bonchi, F., Gionis, A., Sebag, M. (eds.) Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science, vol. 6322, pp. 418-433. Springer, Berlin (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
-
31
-
-
85161965237
-
A primal-dual algorithm for group sparse regularization with overlapping groups
-
J. Lafferty C.K.I. Williams J. Shawe-Taylor R.S. Zemel A. Culotta (eds) 23
-
Mosci, S., Villa, S., Verri, A., Rosasco, L.: A primal-dual algorithm for group sparse regularization with overlapping groups. In: Lafferty, J., Williams, C.K.I., Shawe-Taylor, J., Zemel, R.S., Culotta, A. (eds.) Advances in Neural Information Processing Systems, vol. 23, pp. 2604-2612 (2010)
-
(2010)
Advances in Neural Information Processing Systems
, pp. 2604-2612
-
-
Mosci, S.1
Villa, S.2
Verri, A.3
Rosasco, L.4
-
33
-
-
17444406259
-
Smooth minimization of non-smooth functions
-
10.1007/s10107-004-0552-5 1079.90102 2166537
-
Nesterov, Y.: Smooth minimization of non-smooth functions. Math. Program., Ser. A 103(1), 127-152 (2005)
-
(2005)
Math. Program., Ser. A
, vol.103
, Issue.1
, pp. 127-152
-
-
Nesterov, Y.1
-
35
-
-
84857693243
-
-
Research report, October
-
Obozinski, G., Jacob, L., Vert, J.-P.: Group lasso with overlaps: the latent group lasso approach. Research report, October 2011
-
(2011)
Group Lasso with Overlaps: The Latent Group Lasso Approach
-
-
Obozinski, G.1
Jacob, L.2
Vert, J.-P.3
-
36
-
-
34547849507
-
L1-regularization path algorithm for generalized linear models
-
10.1111/j.1467-9868.2007.00607.x 2370074
-
Park, M.Y., Hastie, T.: L1-regularization path algorithm for generalized linear models. J. R. Stat. Soc. B 69, 659-677 (2007)
-
(2007)
J. R. Stat. Soc. B
, vol.69
, pp. 659-677
-
-
Park, M.Y.1
Hastie, T.2
-
37
-
-
84863739550
-
Group sparsity with overlapping partition functions
-
Peyré, G., Fadili, J.: Group sparsity with overlapping partition functions. In: Proc. EUSIPCO 2011, pp. 303-307 (2011)
-
(2011)
Proc. EUSIPCO 2011
, pp. 303-307
-
-
Peyré, G.1
Fadili, J.2
-
39
-
-
84862026135
-
Structured sparsity via alternating direction methods
-
06276157 2930644
-
Qin, Z., Goldfarb, D.: Structured sparsity via alternating direction methods. J. Mach. Learn. Res. 13, 1435-1468 (2012)
-
(2012)
J. Mach. Learn. Res.
, vol.13
, pp. 1435-1468
-
-
Qin, Z.1
Goldfarb, D.2
-
41
-
-
0016985417
-
Monotone operators and the proximal point algorithm
-
10.1137/0314056 0358.90053 410483
-
Rockafellar, R.T.: Monotone operators and the proximal point algorithm. SIAM J. Control Optim. 14(5), 877-898 (1976)
-
(1976)
SIAM J. Control Optim.
, vol.14
, Issue.5
, pp. 877-898
-
-
Rockafellar, R.T.1
-
42
-
-
78049440310
-
Iterative projection methods for structured sparsity regularization
-
Rosasco, L., Mosci, M., Santoro, S., Verri, A., Villa, S.: Iterative projection methods for structured sparsity regularization. Technical Report MIT-CSAIL-TR-2009-050, MIT (2009)
-
(2009)
Technical Report MIT-CSAIL-TR-2009-050, MIT
-
-
Rosasco, L.1
Mosci, M.2
Santoro, S.3
Verri, A.4
Villa, S.5
-
43
-
-
0000788854
-
The gradient projection method for nonlinear programming, part I: Linear constraints
-
10.1137/0108011 0099.36405
-
Rosen, J.: The gradient projection method for nonlinear programming, part I: Linear constraints. J. Soc. Ind. Appl. Math. 8, 181-217 (1960)
-
(1960)
J. Soc. Ind. Appl. Math.
, vol.8
, pp. 181-217
-
-
Rosen, J.1
-
44
-
-
56449115709
-
The group-lasso for generalized linear models: Uniqueness of solutions and efficient
-
Roth, V., Fischer, B.: The group-lasso for generalized linear models: uniqueness of solutions and efficient. In: Proceedings of 25th ICML (2008)
-
(2008)
Proceedings of 25th ICML
-
-
Roth, V.1
Fischer, B.2
-
45
-
-
84872004272
-
Accelerated and inexact proximal point algorithms
-
3059059
-
Salzo, S., Villa, S.: Accelerated and inexact proximal point algorithms. J. Convex Anal. 9(4), 1167-1192 (2012)
-
(2012)
J. Convex Anal.
, vol.9
, Issue.4
, pp. 1167-1192
-
-
Salzo, S.1
Villa, S.2
-
47
-
-
27344435774
-
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
-
10.1073/pnas.0506580102
-
Subramanian, A., et al.: Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl. Acad. Sci. USA 102(43), 15545-15550 (2005)
-
(2005)
Proc. Natl. Acad. Sci. USA
, vol.102
, Issue.43
, pp. 15545-15550
-
-
Subramanian, A.1
-
48
-
-
0034069495
-
Gene ontology: Tool for the unification biology
-
The Gene Ontology Consortium 10.1038/75556
-
The Gene Ontology Consortium: Gene ontology: tool for the unification biology. Nat. Genet. 25, 25-29 (2000)
-
(2000)
Nat. Genet.
, vol.25
, pp. 25-29
-
-
-
49
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
0850.62538 1379242
-
Tibshirani, R.: Regression shrinkage and selection via the lasso. J. R. Stat. Soc. B 58(1), 267-288 (1996)
-
(1996)
J. R. Stat. Soc. B
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
50
-
-
77958113563
-
Approximation accuracy, gradient methods, and error bound for structured convex optimization
-
10.1007/s10107-010-0394-2 1207.65084
-
Tseng, P.: Approximation accuracy, gradient methods, and error bound for structured convex optimization. Math. Program., Ser. B 125(2), 263-295 (2010)
-
(2010)
Math. Program., Ser. B
, vol.125
, Issue.2
, pp. 263-295
-
-
Tseng, P.1
-
51
-
-
18244409687
-
Gene expression profiling predicts clinical outcome of breast cancer
-
10.1038/415530a
-
van 't Veer, L., et al.: Gene expression profiling predicts clinical outcome of breast cancer. Nature 415(6871), 530 (2002)
-
(2002)
Nature
, vol.415
, Issue.6871
, pp. 530
-
-
Van 'T Veer, L.1
-
52
-
-
84886247153
-
Accelerated and inexact forward-backward algorithms
-
10.1137/110844805 06238052 3085126
-
Villa, S., Salzo, S., Baldassarre, L., Verri, A.: Accelerated and inexact forward-backward algorithms. SIAM J. Optim. 23(3), 1607-1633 (2013)
-
(2013)
SIAM J. Optim.
, vol.23
, Issue.3
, pp. 1607-1633
-
-
Villa, S.1
Salzo, S.2
Baldassarre, L.3
Verri, A.4
-
53
-
-
33645035051
-
Model selection and estimation in regression with grouped variables
-
10.1111/j.1467-9868.2005.00532.x 1141.62030 2212574
-
Yuan, M., Lin, Y.: Model selection and estimation in regression with grouped variables. J. R. Stat. Soc. B 68(1), 49-67 (2006)
-
(2006)
J. R. Stat. Soc. B
, vol.68
, Issue.1
, pp. 49-67
-
-
Yuan, M.1
Lin, Y.2
-
54
-
-
69949155103
-
The composite absolute penalties family for grouped and hierarchical variable selection
-
10.1214/07-AOS584 05644286 2549566
-
Zhao, P., Rocha, G., Yu, B.: The composite absolute penalties family for grouped and hierarchical variable selection. Ann. Stat. 37(6A), 3468-3497 (2009)
-
(2009)
Ann. Stat.
, vol.37
, Issue.6 A
, pp. 3468-3497
-
-
Zhao, P.1
Rocha, G.2
Yu, B.3
|