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Operations research letters
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Ill-posed variational problems and regularization techniques : proceedings of the "Workshop on Ill-Posed Variational Problems and Regulation Techniques" held at the University of Trier, September 3 - 5, 1998
1
Mathematical finance : an international journal of mathematics, statistics and financial theory
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Convex approximations to sparse PCA via Lagrangian duality
Luss, Ronny
;
Teboulle, Marc
- In:
Operations research letters
39
(
2011
)
1
,
pp. 57-61
Persistent link: https://www.econbiz.de/10008857505
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2
A new semidefinite programming relaxation scheme for a class of quadratic matrix problems
Beck, Amir
;
Drori, Yoel
;
Teboulle, Marc
- In:
Operations research letters
40
(
2012
)
4
,
pp. 298-302
Persistent link: https://www.econbiz.de/10009558921
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3
A simple algorithm for a class of nonsmooth convex-concave saddle-point problems
Drori, Yoel
;
Sabach, Shoham
;
Teboulle, Marc
- In:
Operations research letters
43
(
2015
)
2
,
pp. 209-214
Persistent link: https://www.econbiz.de/10010515775
Saved in:
4
A fast dual proximal gradient algorithm for convex minimization and applications
Beck, Amir
;
Teboulle, Marc
- In:
Operations research letters
42
(
2014
)
1
,
pp. 1-6
Persistent link: https://www.econbiz.de/10010259285
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5
An old-new concept of convex risk measures : the optimized certainty equivalent
Ben-Tal, Aharon
;
Teboulle, Marc
- In:
Mathematical finance : an international journal of …
17
(
2007
)
3
,
pp. 449-476
Persistent link: https://www.econbiz.de/10003626576
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6
On the rate of convergence of the proximal alternating linearized minimization algorithm for convex problems
Shefi, Ron
;
Teboulle, Marc
- In:
EURO journal on computational optimization
4
(
2016
)
1
,
pp. 27-46
Persistent link: https://www.econbiz.de/10011492501
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7
Coupling the logarithmic-quadratic proximal method and the block nonlinear Gauss-Seidel algorithm for linearly constrained convex minimization Alfred Auslender; Marc Teboulle; Sami...
Auslender, Alfred
;
Teboulle, Marc
;
Ben-Tiba, Sami
- In:
Ill-posed variational problems and regularization …
,
(pp. 35-47)
.
1999
Persistent link: https://www.econbiz.de/10001455034
Saved in:
8
A descent lemma beyond Lipschitz gradient continuity : first-order methods revisited and applications
Bauschke, Heinz H.
;
Bolte, Jérôme
;
Teboulle, Marc
- In:
Mathematics of operations research
42
(
2017
)
2
,
pp. 330-348
Persistent link: https://www.econbiz.de/10011684408
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9
A non-Euclidean gradient descent method with sketching for unconstrained matrix minimization
Hallak, Nadav
;
Teboulle, Marc
- In:
Operations research letters
47
(
2019
)
5
,
pp. 421-426
Persistent link: https://www.econbiz.de/10012110606
Saved in:
10
Nonconvex Lagrangian-based optimization : monitoring schemes and global convergence
Bolte, Jérôme
;
Sabach, Shoham
;
Teboulle, Marc
- In:
Mathematics of operations research
43
(
2018
)
4
,
pp. 1210-1232
Persistent link: https://www.econbiz.de/10011956982
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