-
1
-
-
33747151859
-
Interior gradient and proximal methods for convex and conic optimization
-
A. Auslender and M. Teboulle, Interior gradient and proximal methods for convex and conic optimization, SIAM J. Optim., 16 (2006), pp. 697-725.
-
(2006)
SIAM J. Optim.
, vol.16
, pp. 697-725
-
-
Auslender, A.1
Teboulle, M.2
-
2
-
-
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 J. Imaging Sci., 2 (2009), pp. 183-202.
-
(2009)
SIAM J. Imaging Sci.
, vol.2
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
3
-
-
84856004485
-
Templates for convex cone problems with applications to sparse signal recovery
-
S. R. Becker, M. J. Candés, and M. C. Grant, Templates for convex cone problems with applications to sparse signal recovery, Math. Program. Comput., 3 (2011), pp. 1-54.
-
(2011)
Math. Program. Comput.
, vol.3
, pp. 1-54
-
-
Becker, S.R.1
Candés, M.J.2
Grant, M.C.3
-
4
-
-
84877780049
-
A quasi-Newton proximal splitting method
-
Lake Tahoe, California
-
S. Becker and J. Fadili, A quasi-Newton proximal splitting method, NIPS, Lake Tahoe, California, 2012.
-
(2012)
NIPS
-
-
Becker, S.1
Fadili, J.2
-
6
-
-
71049116435
-
Exact matrix completion via convex optimization
-
E. J. Candés and B. Recht, Exact matrix completion via convex optimization, Found. Comput. Math, 9 (2009), pp. 717-772.
-
(2009)
Found. Comput. Math
, vol.9
, pp. 717-772
-
-
Candés, E.J.1
Recht, B.2
-
7
-
-
84966259557
-
A characterization of superlinear convergence and its application to quasi-Newton methods
-
J. E. Dennis, Jr. and J. J. Moré, A characterization of superlinear convergence and its application to quasi-Newton methods, Math. Comp., 28, (1974), pp. 549-560.
-
(1974)
Math. Comp.
, vol.28
, pp. 549-560
-
-
Dennis Jr., J.E.1
Moré, J.J.2
-
8
-
-
0003176174
-
Choosing the forcing terms in an inexact Newton method
-
S. C. Eisenstat and H. F. Walker, Choosing the forcing terms in an inexact Newton method, SIAM J. Sci. Comput., 17 (1996), pp. 16-32.
-
(1996)
SIAM J. Sci. Comput.
, vol.17
, pp. 16-32
-
-
Eisenstat, S.C.1
Walker, H.F.2
-
9
-
-
45849107328
-
Pathwise coordinate optimization
-
J. Friedman, T. Hastie, H. Holfing, and R. Tibshirani, Pathwise coordinate optimization, Ann. Appl. Stat. (2007), pp. 302-332
-
(2007)
Ann. Appl. Stat.
, pp. 302-332
-
-
Friedman, J.1
Hastie, T.2
Holfing, H.3
Tibshirani, R.4
-
10
-
-
0019602085
-
A generalized proximal point algorithm for certain non-convex minimization problems
-
M. Fukushima and H. Mine, A generalized proximal point algorithm for certain non-convex minimization problems, Internat. J. Systems Sci., 12 (1981), pp. 989-1000.
-
(1981)
Internat. J. Systems Sci.
, vol.12
, pp. 989-1000
-
-
Fukushima, M.1
Mine, H.2
-
11
-
-
85162490550
-
Sparse inverse covariance matrix estimation using quadratic approximation
-
Granada, Spain
-
C. J. Hsieh, M. A. Sustik, P. Ravikumar, and I. S. Dhillon, Sparse inverse covariance matrix estimation using quadratic approximation, NIPS, Granada, Spain, 2011.
-
(2011)
NIPS
-
-
Hsieh, C.J.1
Sustik, M.A.2
Ravikumar, P.3
Dhillon, I.S.4
-
12
-
-
77956500998
-
A scalable trust-region algorithm with applications to mixed-norm regression
-
Haifa, Israel
-
D. Kim, S. Sra, and I. S. Dhillon, A scalable trust-region algorithm with applications to mixed-norm regression, ICML, Haifa, Israel, 2010.
-
(2010)
ICML
-
-
Kim, D.1
Sra, S.2
Dhillon, I.S.3
-
13
-
-
57649169327
-
Gradient methods for minimizing composite objective function
-
Y. Nesterov, Gradient methods for minimizing composite objective function, CORE discussion paper, 2007.
-
(2007)
CORE Discussion Paper
-
-
Nesterov, Y.1
-
14
-
-
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, Stat. Comput. (2010), pp. 231-252
-
(2010)
Stat. Comput.
, pp. 231-252
-
-
Obozinski, G.1
Taskar, B.2
Jordan, M.I.3
-
15
-
-
84877779852
-
Newton-like methods for sparse inverse covariance estimation
-
Lake Tahoe, California
-
P. Olsen, F. Oztoprak, J. Nocedal, S. Rennie, Newton-like methods for sparse inverse covariance estimation, NIPS, Lake Tahoe, California, 2012.
-
(2012)
NIPS
-
-
Olsen, P.1
Oztoprak, F.2
Nocedal, J.3
Rennie, S.4
-
17
-
-
77951455815
-
High-dimensional Ising model selection using'1-regularized logistic regression
-
P. Ravikumar, M. J. Wainwright and J. D. Lafferty, High-dimensional Ising model selection using'1-regularized logistic regression, Ann. Statist. (2010), pp. 1287-1319.
-
(2010)
Ann. Statist.
, pp. 1287-1319
-
-
Ravikumar, P.1
Wainwright, M.J.2
Lafferty, J.D.3
-
19
-
-
77955995598
-
Optimizing costly functions with simple constraints: A limited-memory projected quasi-Newton algorithm
-
Clearwater Beach, Florida
-
M. Schmidt, E. van den Berg, M. P. Friedlander, and K. Murphy, Optimizing costly functions with simple constraints: a limited-memory projected quasi-Newton algorithm, AISTATS, Clearwater Beach, Florida, 2009.
-
(2009)
AISTATS
-
-
Schmidt, M.1
Berg Den E.Van2
Friedlander, M.P.3
Murphy, K.4
-
20
-
-
84857722294
-
Projected Newton-type methods in machine learning
-
S. Sra, S. Nowozin, and S. Wright, editors, MIT Press
-
M. Schmidt, D. Kim, and S. Sra, Projected Newton-type methods in machine learning, in S. Sra, S. Nowozin, and S. Wright, editors, Optimization for Machine Learning, MIT Press (2011).
-
(2011)
Optimization for Machine Learning
-
-
Schmidt, M.1
Kim, D.2
Sra, S.3
-
21
-
-
46749146509
-
A coordinate gradient descent method for nonsmooth separable minimization
-
P. Tseng and S. Yun, A coordinate gradient descent method for nonsmooth separable minimization, Math. Prog. Ser. B, 117 (2009), pp. 387-423.
-
(2009)
Math. Prog. Ser. B
, vol.117
, pp. 387-423
-
-
Tseng, P.1
Yun, S.2
-
22
-
-
70049111607
-
On accelerated proximal gradient methods for convex-concave optimization
-
submitted to
-
P. Tseng, On accelerated proximal gradient methods for convex-concave optimization, submitted to SIAM J. Optim. (2008).
-
(2008)
SIAM J. Optim.
-
-
Tseng, P.1
-
23
-
-
0001287271
-
Regression shrinkage and selection via the lasso
-
R. Tibshirani, Regression shrinkage and selection via the lasso, J. R. Stat. Soc. Ser. B Stat. Methodol., 58 (1996), pp. 267-288.
-
(1996)
J. R. Stat. Soc. Ser. B Stat. Methodol.
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
24
-
-
67650178787
-
Sparse reconstruction by separable approximation
-
S. J. Wright, R. D. Nowak, and M. A. T. Figueiredo, Sparse reconstruction by separable approximation, IEEE Trans. Signal Process., 57 (2009), pp. 2479-2493.
-
(2009)
IEEE Trans. Signal Process.
, vol.57
, pp. 2479-2493
-
-
Wright, S.J.1
Nowak, R.D.2
Figueiredo, M.A.T.3
-
25
-
-
56449097975
-
A quasi-newton approach to nonsmooth convex optimization
-
Helsinki, Finland
-
J. Yu, S. V. N. Vishwanathan, S. Günter, and N. N. Schraudolph, A Quasi-Newton Approach to Nonsmooth Convex Optimization, ICML, Helsinki, Finland, 2008.
-
(2008)
ICML
-
-
Yu, J.1
Vishwanathan, S.V.N.2
Günter, S.3
Schraudolph, N.N.4
-
26
-
-
84877775375
-
An improved GLMNET for'1-regularized logistic regression and support vector machines
-
G. X. Yuan, C. H. Ho and C. J. Lin, An improved GLMNET for'1-regularized logistic regression and support vector machines, National Taiwan University, Tech. Report 2011.
-
(2011)
National Taiwan University, Tech Report
-
-
Yuan, G.X.1
Ho, C.H.2
Lin, C.J.3
-
27
-
-
16244401458
-
Regularization and variable selection via the elastic net
-
R. H. Zou and T. Hastie, Regularization and variable selection via the elastic net, J. R. Stat. Soc. Ser. B Stat. Methodol., 67 (2005), pp. 301-320.
-
(2005)
J. R. Stat. Soc. Ser. B Stat. Methodol.
, vol.67
, pp. 301-320
-
-
Zou, R.H.1
Hastie, T.2
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