Marc Teboulle

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Amir BeckProfessor, School of Mathematical Sciences, Tel-Aviv University, IsraelVerified email at tauex.tau.ac.il
a ben talprofessor of operations research, Technion, israel Institute of technologyVerified email at ie.technion.ac.il
Shoham SabachAssociate Professor, Technion, Faculty of Data and Decision SciencesVerified email at technion.ac.il
Jérôme BolteTSE, University Toulouse Capitole (France), ANITIVerified email at tse-fr.eu
A. IusemIMPAVerified email at impa.br
Yoel DroriGoogle Inc.Verified email at google.com
Ron ShefiVerified email at math.uni-goettingen.de
Heinz H. BauschkeProfessor of Mathematics, University of British ColumbiaVerified email at ubc.ca
Yakov VaisbourdPostdoctoral Researcher, Department of Mathematics and Statistics, McGill UniversityVerified email at mcgill.ca
Russell LukeProfessor of Continuous Optimization, Universität GöttingenVerified email at math.uni-goettingen.de
Angelia NedichProfessor, Arizona State UniversityVerified email at asu.edu
Asuman OzdaglarMathworks Professor, EECS, MITVerified email at mit.edu
Ronny LussIBM ResearchVerified email at us.ibm.com
Jonathan (Jon) M. BorweinLaureate Professor University of NewcastleVerified email at newcastle.edu.au
Nadav HallakAssistant Professor, The TechnionVerified email at technion.ac.il
Yonina EldarMath and Computer Science, WeizmannVerified email at weizmann.ac.il
MS GowdaProfessor of Mathematics, University of Maryland, Baltimore CountyVerified email at umbc.edu
Adi Ben-IsraelRutgers UniversityVerified email at scarletmail.rutgers.edu
John BirgeProfessor of Operations Management, University of Chicago Booth School of BusinessVerified email at chicagobooth.edu
Paulo J. S. SilvaUniversidade Estadual de CampinasVerified email at unicamp.br

Marc Teboulle

Professor, School of Mathematical Sciences, Tel Aviv University

Verified email at tauex.tau.ac.il - Homepage

Continuous Optimization Convex Analysis Convex Optimization Variational Inequalities Engineering Applications


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A fast iterative shrinkage-thresholding algorithm for linear inverse problems A Beck, M Teboulle SIAM journal on imaging sciences 2 (1), 183-202, 2009	13842	2009
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	2385	2009
Proximal alternating linearized minimization for nonconvex and nonsmooth problems J Bolte, S Sabach, M Teboulle Mathematical Programming 146 (1), 459-494, 2014	1776	2014
Mirror descent and nonlinear projected subgradient methods for convex optimization A Beck, M Teboulle Operations Research Letters 31 (3), 167-175, 2003	1441	2003
Convergence analysis of a proximal-like minimization algorithm using Bregman functions G Chen, M Teboulle SIAM Journal on Optimization 3 (3), 538-543, 1993	639	1993
Asymptotic cones and functions in optimization and variational inequalities A Auslender, M Teboulle Springer Science & Business Media, 2006	561	2006
Gradient-based algorithms with applications to signal-recovery problems. A Beck, M Teboulle Convex optimization in signal processing and communications, 42-88, 2010	490	2010
A proximal-based decomposition method for convex minimization problems G Chen, M Teboulle Mathematical Programming 64 (1), 81-101, 1994	490	1994
An old‐new concept of convex risk measures: The optimized certainty equivalent A Ben‐Tal, M Teboulle Mathematical Finance 17 (3), 449-476, 2007	477	2007
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	457	2017
Interior gradient and proximal methods for convex and conic optimization A Auslender, M Teboulle SIAM Journal on Optimization 16 (3), 697-725, 2006	374	2006
Entropic proximal mappings with applications to nonlinear programming M Teboulle Mathematics of Operations Research 17 (3), 670-690, 1992	346	1992
Smoothing and first order methods: A unified framework A Beck, M Teboulle SIAM Journal on Optimization 22 (2), 557-580, 2012	327	2012
Performance of first-order methods for smooth convex minimization: a novel approach Y Drori, M Teboulle Mathematical Programming 145 (1), 451-482, 2014	303	2014
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	280	2009
Expected utility, penalty functions, and duality in stochastic nonlinear programming A Ben-Tal, M Teboulle Management Science 32 (11), 1445-1466, 1986	247	1986
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	239	1999
Entropy-like proximal methods in convex programming AN Iusem, BF Svaiter, M Teboulle Mathematics of Operations Research 19 (4), 790-814, 1994	227	1994
Convergence of proximal-like algorithms M Teboulle SIAM Journal on Optimization 7 (4), 1069-1083, 1997	226	1997
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	224	2014

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