Követés
Marc Teboulle
Marc Teboulle
Professor, School of Mathematical Sciences, Tel Aviv University
E-mail megerősítve itt: tauex.tau.ac.il - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
A Beck, M Teboulle
SIAM journal on imaging sciences 2 (1), 183-202, 2009
129672009
Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems
A Beck, M Teboulle
IEEE transactions on image processing 18 (11), 2419-2434, 2009
22602009
Proximal alternating linearized minimization for nonconvex and nonsmooth problems
J Bolte, S Sabach, M Teboulle
Mathematical Programming 146 (1-2), 459-494, 2014
16152014
Mirror descent and nonlinear projected subgradient methods for convex optimization
A Beck, M Teboulle
Operations Research Letters 31 (3), 167-175, 2003
13352003
Convergence analysis of a proximal-like minimization algorithm using Bregman functions
G Chen, M Teboulle
SIAM Journal on Optimization 3 (3), 538-543, 1993
6121993
Duality in Optimization Problems
A Auslender, M Teboulle
Asymptotic Cones and Functions in Optimization and Variational Inequalities …, 2003
5382003
A proximal-based decomposition method for convex minimization problems
G Chen, M Teboulle
Mathematical Programming 64 (1-3), 81-101, 1994
4811994
Gradient-based algorithms with applications to signal recovery
A Beck, M Teboulle
Convex optimization in signal processing and communications, 42-88, 2009
4622009
An old‐new concept of convex risk measures: The optimized certainty equivalent
A Ben‐Tal, M Teboulle
Mathematical Finance 17 (3), 449-476, 2007
4432007
A descent lemma beyond Lipschitz gradient continuity: first-order methods revisited and applications
HH Bauschke, J Bolte, M Teboulle
Mathematics of Operations Research 42 (2), 330-348, 2017
4022017
Interior gradient and proximal methods for convex and conic optimization
A Auslender, M Teboulle
SIAM Journal on Optimization 16 (3), 697-725, 2006
3622006
Entropic proximal mappings with applications to nonlinear programming
M Teboulle
Mathematics of Operations Research 17 (3), 670-690, 1992
3361992
Smoothing and first order methods: A unified framework
A Beck, M Teboulle
SIAM Journal on Optimization 22 (2), 557-580, 2012
3112012
Performance of first-order methods for smooth convex minimization: a novel approach
Y Drori, M Teboulle
Mathematical Programming 145 (1-2), 451-482, 2014
2542014
A fast iterative shrinkage-thresholding algorithm with application to wavelet-based image deblurring
A Beck, M Teboulle
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
2412009
Expected utility, penalty functions, and duality in stochastic nonlinear programming
A Ben-Tal, M Teboulle
Management Science 32 (11), 1445-1466, 1986
2351986
A logarithmic-quadratic proximal method for variational inequalities
A Auslender, M Teboulle, S Ben-Tiba
Computational Optimization: A Tribute to Olvi Mangasarian Volume I, 31-40, 1999
2321999
Convergence of proximal-like algorithms
M Teboulle
SIAM Journal on Optimization 7 (4), 1069-1083, 1997
2251997
Entropy-like proximal methods in convex programming
AN Iusem, BF Svaiter, M Teboulle
Mathematics of Operations Research 19 (4), 790-814, 1994
2231994
An Gradient Method for Network Resource Allocation Problems
A Beck, A Nedić, A Ozdaglar, M Teboulle
IEEE Transactions on Control of Network Systems 1 (1), 64-73, 2014
2122014
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