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2020 – today
- 2024
[j69]Amir Beck
, Marc Teboulle:
Exact Lipschitz Regularization of Convex Optimization Problems. J. Optim. Theory Appl. 203(3): 2307-2327 (2024)- 2023
- [j68]Amir Beck, Raz Sharon:
A branch and bound method solving the max-min linear discriminant analysis problem. Optim. Methods Softw. 38(5): 1031-1057 (2023) - [j67]Amir Beck, Israel Rosset:
A Dynamic Smoothing Technique for a Class of Nonsmooth Optimization Problems on Manifolds. SIAM J. Optim. 33(3): 1473-1493 (2023) - 2022
- [j66]Amir Beck, Yehonathan Refael:
Sparse regularization via bidualization. J. Glob. Optim. 82(3): 463-482 (2022) - [j65]Aviad Aberdam, Amir Beck:
An Accelerated Coordinate Gradient Descent Algorithm for Non-separable Composite Optimization. J. Optim. Theory Appl. 193(1): 219-246 (2022) - [j64]Amir Beck, Raz Sharon:
New results on multi-dimensional linear discriminant analysis. Oper. Res. Lett. 50(1): 1-7 (2022) - [j63]Amir Beck, Nadav Hallak:
The regularized feasible directions method for nonconvex optimization. Oper. Res. Lett. 50(5): 517-523 (2022) - 2021
- [j62]Amir Beck, Marc Teboulle:
Dual Randomized Coordinate Descent Method for Solving a Class of Nonconvex Problems. SIAM J. Optim. 31(3): 1877-1896 (2021) - 2020
- [j61]Jeremias Sulam, Aviad Aberdam, Amir Beck, Michael Elad:
On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(8): 1968-1980 (2020) - [j60]Amir Beck, Nadav Hallak:
On the Convergence to Stationary Points of Deterministic and Randomized Feasible Descent Directions Methods. SIAM J. Optim. 30(1): 56-79 (2020)
2010 – 2019
- 2019
- [j59]Amir Beck, Nadav Hallak:
Optimization problems involving group sparsity terms. Math. Program. 178(1-2): 39-67 (2019) - [j58]Amir Beck, Nili Guttmann-Beck:
FOM - a MATLAB toolbox of first-order methods for solving convex optimization problems. Optim. Methods Softw. 34(1): 172-193 (2019) - 2018
- [j57]Amir Beck, Yuval Beck, Yoash Levron, Alex Shtof, Luba Tetruashvili:
Globally solving a class of optimal power flow problems in radial networks by tree reduction. J. Glob. Optim. 72(3): 373-402 (2018) - [j56]Amir Beck, Edouard Pauwels, Shoham Sabach:
Primal and dual predicted decrease approximation methods. Math. Program. 167(1): 37-73 (2018) - [j55]Amir Beck, Nadav Hallak:
Proximal Mapping for Symmetric Penalty and Sparsity. SIAM J. Optim. 28(1): 496-527 (2018) - [j54]Amir Beck, Yakov Vaisbourd:
Globally Solving the Trust Region Subproblem Using Simple First-Order Methods. SIAM J. Optim. 28(3): 1951-1967 (2018) - [j53]Edouard Pauwels, Amir Beck, Yonina C. Eldar, Shoham Sabach:
On Fienup Methods for Sparse Phase Retrieval. IEEE Trans. Signal Process. 66(4): 982-991 (2018) - 2017
- [j52]Amir Beck, Dror Pan:
A branch and bound algorithm for nonconvex quadratic optimization with ball and linear constraints. J. Glob. Optim. 69(2): 309-342 (2017) - [j51]Amir Beck, Shimrit Shtern:
Linearly convergent away-step conditional gradient for non-strongly convex functions. Math. Program. 164(1-2): 1-27 (2017) - [i4]Edouard Pauwels, Amir Beck, Yonina C. Eldar, Shoham Sabach:
On Fienup Methods for Regularized Phase Retrieval. CoRR abs/1702.08339 (2017) - 2016
- [j50]Amir Beck, Yakov Vaisbourd:
The Sparse Principal Component Analysis Problem: Optimality Conditions and Algorithms. J. Optim. Theory Appl. 170(1): 119-143 (2016) - [j49]Amir Beck, Nadav Hallak:
On the Minimization Over Sparse Symmetric Sets: Projections, Optimality Conditions, and Algorithms. Math. Oper. Res. 41(1): 196-223 (2016) - [j48]Amir Beck, Luba Tetruashvili, Yakov Vaisbourd, Ariel Shemtov:
Rate of convergence analysis of dual-based variables decomposition methods for strongly convex problems. Oper. Res. Lett. 44(1): 61-66 (2016) - [j47]Amir Beck, Shoham Sabach, Marc Teboulle:
An Alternating Semiproximal Method for Nonconvex Regularized Structured Total Least Squares Problems. SIAM J. Matrix Anal. Appl. 37(3): 1129-1150 (2016) - 2015
- [j46]Amir Beck, Shoham Sabach:
Weiszfeld's Method: Old and New Results. J. Optim. Theory Appl. 164(1): 1-40 (2015) - [j45]Amir Beck:
On the Convergence of Alternating Minimization for Convex Programming with Applications to Iteratively Reweighted Least Squares and Decomposition Schemes. SIAM J. Optim. 25(1): 185-209 (2015) - [j44]Amir Beck, Edouard Pauwels, Shoham Sabach:
The Cyclic Block Conditional Gradient Method for Convex Optimization Problems. SIAM J. Optim. 25(4): 2024-2049 (2015) - 2014
- [b1]Amir Beck:
Introduction to Nonlinear Optimization - Theory, Algorithms, and Applications with MATLAB. MOS-SIAM Series on Optimization 19, SIAM 2014, ISBN 978-1-611-97364-8, pp. I-XII, 1-282 - [j43]Amir Beck:
The 2-Coordinate Descent Method for Solving Double-Sided Simplex Constrained Minimization Problems. J. Optim. Theory Appl. 162(3): 892-919 (2014) - [j42]Amir Beck, Shoham Sabach:
A first order method for finding minimal norm-like solutions of convex optimization problems. Math. Program. 147(1-2): 25-46 (2014) - [j41]Amir Beck, Marc Teboulle:
A fast dual proximal gradient algorithm for convex minimization and applications. Oper. Res. Lett. 42(1): 1-6 (2014) - [j40]Amir Beck, Angelia Nedic, Asuman E. Ozdaglar, Marc Teboulle:
An O(1/k) Gradient Method for Network Resource Allocation Problems. IEEE Trans. Control. Netw. Syst. 1(1): 64-73 (2014) - [j39]Yoav Shechtman, Amir Beck, Yonina C. Eldar:
GESPAR: Efficient Phase Retrieval of Sparse Signals. IEEE Trans. Signal Process. 62(4): 928-938 (2014) - [j38]Zhao Tan, Yonina C. Eldar, Amir Beck, Arye Nehorai:
Smoothing and Decomposition for Analysis Sparse Recovery. IEEE Trans. Signal Process. 62(7): 1762-1774 (2014) - 2013
- [j37]Amir Beck, Yonina C. Eldar:
Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms. SIAM J. Optim. 23(3): 1480-1509 (2013) - [j36]Amir Beck, Luba Tetruashvili:
On the Convergence of Block Coordinate Descent Type Methods. SIAM J. Optim. 23(4): 2037-2060 (2013) - [c4]Amir Beck, Yonina C. Eldar, Yoav Shechtman:
Nonlinear compressed sensing with application to phase retrieval. GlobalSIP 2013: 617 - [c3]Amir Beck, Yonina C. Eldar:
Sparse signal recovery from nonlinear measurements. ICASSP 2013: 5464-5468 - [i3]Yoav Shechtman, Amir Beck, Yonina C. Eldar:
GESPAR: Efficient Phase Retrieval of Sparse Signals. CoRR abs/1301.1018 (2013) - [i2]Zhao Tan, Yonina C. Eldar, Amir Beck, Arye Nehorai:
Smoothing and Decomposition for Analysis Sparse Recovery. CoRR abs/1308.5000 (2013) - 2012
- [j35]Amir Beck, Yoel Drori, Marc Teboulle:
A new semidefinite programming relaxation scheme for a class of quadratic matrix problems. Oper. Res. Lett. 40(4): 298-302 (2012) - [j34]Amir Beck, Shoham Sabach:
An improved ellipsoid method for solving convex differentiable optimization problems. Oper. Res. Lett. 40(6): 541-545 (2012) - [j33]Amir Beck, Dror Pan:
On the Solution of the GPS Localization and Circle Fitting Problems. SIAM J. Optim. 22(1): 108-134 (2012) - [j32]Amir Beck, Aharon Ben-Tal, Luba Tetruashvili:
A Sequential Ascending Parameter Method for Solving Constrained Minimization Problems. SIAM J. Optim. 22(1): 244-260 (2012) - [j31]Amir Beck, Marc Teboulle:
Smoothing and First Order Methods: A Unified Framework. SIAM J. Optim. 22(2): 557-580 (2012) - [i1]Amir Beck, Yonina C. Eldar:
Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms. CoRR abs/1203.4580 (2012) - 2011
- [p2]Amir Beck, Marc Teboulle:
A Linearly Convergent Algorithm for Solving a Class of Nonconvex/Affine Feasibility Problems. Fixed-Point Algorithms for Inverse Problems in Science and Engineering 2011: 33-48 - 2010
- [j30]Amir Beck, Aharon Ben-Tal, Luba Tetruashvili:
A sequential parametric convex approximation method with applications to nonconvex truss topology design problems. J. Glob. Optim. 47(1): 29-51 (2010) - [j29]Amir Beck, Aharon Ben-Tal, Nili Guttmann-Beck, Luba Tetruashvili:
The CoMirror algorithm for solving nonsmooth constrained convex problems. Oper. Res. Lett. 38(6): 493-498 (2010) - [j28]Amir Beck, Yonina C. Eldar:
Structured Total Maximum Likelihood: An Alternative to Structured Total Least Squares. SIAM J. Matrix Anal. Appl. 31(5): 2623-2649 (2010) - [p1]Amir Beck, Marc Teboulle:
Gradient-based algorithms with applications to signal-recovery problems. Convex Optimization in Signal Processing and Communications 2010: 42-88
2000 – 2009
- 2009
- [j27]Amir Beck:
Convexity Properties Associated with Nonconvex Quadratic Matrix Functions and Applications to Quadratic Programming. J. Optimization Theory and Applications 142(1): 1-29 (2009) - [j26]Amir Beck, Marc Teboulle:
A convex optimization approach for minimizing the ratio of indefinite quadratic functions over an ellipsoid. Math. Program. 118(1): 13-35 (2009) - [j25]Amir Beck, Aharon Ben-Tal:
Duality in robust optimization: Primal worst equals dual best. Oper. Res. Lett. 37(1): 1-6 (2009) - [j24]Amir Beck, Marc Teboulle:
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems. SIAM J. Imaging Sci. 2(1): 183-202 (2009) - [j23]Amir Beck, Marc Teboulle:
Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems. IEEE Trans. Image Process. 18(11): 2419-2434 (2009) - [c2]Amir Beck, Marc Teboulle:
A fast Iterative Shrinkage-Thresholding Algorithm with application to wavelet-based image deblurring. ICASSP 2009: 693-696 - 2008
- [j22]Amir Beck, Marc Teboulle, Zahar Chikishev:
Iterative Minimization Schemes for Solving the Single Source Localization Problem. SIAM J. Optim. 19(3): 1397-1416 (2008) - [j21]Amir Beck, Aharon Ben-Tal, Christian Kanzow:
A Fast Method for Finding the Global Solution of the Regularized Structured Total Least Squares Problem for Image Deblurring. SIAM J. Matrix Anal. Appl. 30(1): 419-443 (2008) - [j20]Yonina C. Eldar, Amir Beck, Marc Teboulle:
A Minimax Chebyshev Estimator for Bounded Error Estimation. IEEE Trans. Signal Process. 56(4): 1388-1397 (2008) - [j19]Amir Beck, Petre Stoica, Jian Li:
Exact and Approximate Solutions of Source Localization Problems. IEEE Trans. Signal Process. 56(5): 1770-1778 (2008) - 2007
- [j18]Amir Beck:
On the convexity of a class of quadratic mappings and its application to the problem of finding the smallest ball enclosing a given intersection of balls. J. Glob. Optim. 39(1): 113-126 (2007) - [j17]Amir Beck:
Quadratic Matrix Programming. SIAM J. Optim. 17(4): 1224-1238 (2007) - [j16]Amir Beck, Yonina C. Eldar:
Regularization in Regression with Bounded Noise: A Chebyshev Center Approach. SIAM J. Matrix Anal. Appl. 29(2): 606-625 (2007) - [j15]Amir Beck, Yonina C. Eldar, Aharon Ben-Tal:
Mean-Squared Error Estimation for Linear Systems with Block Circulant Uncertainty. SIAM J. Matrix Anal. Appl. 29(3): 712-730 (2007) - [j14]Amir Beck:
The matrix-restricted total least-squares problem. Signal Process. 87(10): 2303-2312 (2007) - [j13]Amir Beck, Yonina C. Eldar:
Doubly Constrained Robust Capon Beamformer With Ellipsoidal Uncertainty Sets. IEEE Trans. Signal Process. 55(2): 753-758 (2007) - 2006
- [j12]Amir Beck, Marc Teboulle:
A Linearly Convergent Dual-Based Gradient Projection Algorithm for Quadratically Constrained Convex Minimization. Math. Oper. Res. 31(2): 398-417 (2006) - [j11]Amir Beck, Aharon Ben-Tal, Yonina C. Eldar:
Robust Mean-Squared Error Estimation of Multiple Signals in Linear Systems Affected by Model and Noise Uncertainties. Math. Program. 107(1-2): 155-187 (2006) - [j10]Amir Beck, Aharon Ben-Tal:
On the Solution of the Tikhonov Regularization of the Total Least Squares Problem. SIAM J. Optim. 17(1): 98-118 (2006) - [j9]Amir Beck, Yonina C. Eldar:
Strong Duality in Nonconvex Quadratic Optimization with Two Quadratic Constraints. SIAM J. Optim. 17(3): 844-860 (2006) - [j8]Amir Beck, Aharon Ben-Tal, Marc Teboulle:
Finding a Global Optimal Solution for a Quadratically Constrained Fractional Quadratic Problem with Applications to the Regularized Total Least Squares. SIAM J. Matrix Anal. Appl. 28(2): 425-445 (2006) - [j7]Ami Wiesel, Yonina C. Eldar, Amir Beck:
Maximum likelihood estimation in linear models with a Gaussian model matrix. IEEE Signal Process. Lett. 13(5): 292-295 (2006) - 2005
- [j6]Amir Beck, Aharon Ben-Tal:
A Global Solution for the Structured Total Least Squares Problem with Block Circulant Matrices. SIAM J. Matrix Anal. Appl. 27(1): 238-255 (2005) - [c1]Amir Beck, Yonina C. Eldar, Aharon Ben-Tal:
MSE estimation of multichannel signals with model uncertainties. ICASSP (4) 2005: 49-52 - 2004
- [j5]Amir Beck, Marc Teboulle:
A conditional gradient method with linear rate of convergence for solving convex linear systems. Math. Methods Oper. Res. 59(2): 235-247 (2004) - 2003
- [j4]Amir Beck, Marc Teboulle:
Convergence rate analysis and error bounds for projection algorithms in convex feasibility problems. Optim. Methods Softw. 18(4): 377-394 (2003) - [j3]Amir Beck, Marc Teboulle:
Mirror descent and nonlinear projected subgradient methods for convex optimization. Oper. Res. Lett. 31(3): 167-175 (2003) - 2000
- [j2]Amir Beck, Marc Teboulle:
A probabilistic result for the max-cut problem on random graphs. Oper. Res. Lett. 27(5): 209-214 (2000) - [j1]Amir Beck, Marc Teboulle:
Global Optimality Conditions for Quadratic Optimization Problems with Binary Constraints. SIAM J. Optim. 11(1): 179-188 (2000)
Coauthor Index
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