A probabilistic result for the max-cut problem on random graphs. - Amir Beck; Marc Teboulle (Oper. Res. Lett., 2000)

Global Optimality Conditions for Quadratic Optimization Problems with Binary Constraints. - Amir Beck; Marc Teboulle (SIAM J. Optim., 2000)

Convergence rate analysis and error bounds for projection algorithms in convex feasibility problems. - Amir Beck; Marc Teboulle (Optim. Methods Softw., 2003)

Mirror descent and nonlinear projected subgradient methods for convex optimization. - Amir Beck; Marc Teboulle (Oper. Res. Lett., 2003)

A conditional gradient method with linear rate of convergence for solving convex linear systems. - Amir Beck; Marc Teboulle (Math. Methods Oper. Res., 2004)

MSE estimation of multichannel signals with model uncertainties. - Amir Beck; Yonina C. Eldar; Aharon Ben-Tal (ICASSP (4), 2005)

A Global Solution for the Structured Total Least Squares Problem with Block Circulant Matrices. - Amir Beck; Aharon Ben-Tal (SIAM J. Matrix Anal. Appl., 2005)

A Linearly Convergent Dual-Based Gradient Projection Algorithm for Quadratically Constrained Convex Minimization. - Amir Beck; Marc Teboulle (Math. Oper. Res., 2006)

Robust Mean-Squared Error Estimation of Multiple Signals in Linear Systems Affected by Model and Noise Uncertainties. - Amir Beck; Aharon Ben-Tal; Yonina C. Eldar (Math. Program., 2006)

On the Solution of the Tikhonov Regularization of the Total Least Squares Problem. - Amir Beck; Aharon Ben-Tal (SIAM J. Optim., 2006)

Strong Duality in Nonconvex Quadratic Optimization with Two Quadratic Constraints. - Amir Beck; Yonina C. Eldar (SIAM J. Optim., 2006)

Finding a Global Optimal Solution for a Quadratically Constrained Fractional Quadratic Problem with Applications to the Regularized Total Least Squares. - Amir Beck; Aharon Ben-Tal; Marc Teboulle (SIAM J. Matrix Anal. Appl., 2006)

Maximum likelihood estimation in linear models with a Gaussian model matrix. - Ami Wiesel; Yonina C. Eldar; Amir Beck (IEEE Signal Process. Lett., 2006)

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. - Amir Beck (J. Glob. Optim., 2007)

Quadratic Matrix Programming. - Amir Beck (SIAM J. Optim., 2007)

Regularization in Regression with Bounded Noise: A Chebyshev Center Approach. - Amir Beck; Yonina C. Eldar (SIAM J. Matrix Anal. Appl., 2007)

Mean-Squared Error Estimation for Linear Systems with Block Circulant Uncertainty. - Amir Beck; Yonina C. Eldar; Aharon Ben-Tal (SIAM J. Matrix Anal. Appl., 2007)

The matrix-restricted total least-squares problem. - Amir Beck (Signal Process., 2007)

Doubly Constrained Robust Capon Beamformer With Ellipsoidal Uncertainty Sets. - Amir Beck; Yonina C. Eldar (IEEE Trans. Signal Process., 2007)

Iterative Minimization Schemes for Solving the Single Source Localization Problem. - Amir Beck; Marc Teboulle; Zahar Chikishev (SIAM J. Optim., 2008)

A Fast Method for Finding the Global Solution of the Regularized Structured Total Least Squares Problem for Image Deblurring. - Amir Beck; Aharon Ben-Tal; Christian Kanzow (SIAM J. Matrix Anal. Appl., 2008)

Exact and Approximate Solutions of Source Localization Problems. - Amir Beck; Petre Stoica; Jian Li 001 (IEEE Trans. Signal Process., 2008)

A Minimax Chebyshev Estimator for Bounded Error Estimation. - Yonina C. Eldar; Amir Beck; Marc Teboulle (IEEE Trans. Signal Process., 2008)

A fast Iterative Shrinkage-Thresholding Algorithm with application to wavelet-based image deblurring. - Amir Beck; Marc Teboulle (ICASSP, 2009)

Convexity Properties Associated with Nonconvex Quadratic Matrix Functions and Applications to Quadratic Programming. - Amir Beck (J. Optimization Theory and Applications, 2009)

A convex optimization approach for minimizing the ratio of indefinite quadratic functions over an ellipsoid. - Amir Beck; Marc Teboulle (Math. Program., 2009)

Duality in robust optimization: Primal worst equals dual best. - Amir Beck; Aharon Ben-Tal (Oper. Res. Lett., 2009)

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems. - Amir Beck; Marc Teboulle (SIAM J. Imaging Sci., 2009)

Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems. - Amir Beck; Marc Teboulle (IEEE Trans. Image Process., 2009)

Gradient-based algorithms with applications to signal-recovery problems. - Amir Beck; Marc Teboulle (Convex Optimization in Signal Processing and Communications, 2010)

A sequential parametric convex approximation method with applications to nonconvex truss topology design problems. - Amir Beck; Aharon Ben-Tal; Luba Tetruashvili (J. Glob. Optim., 2010)

The CoMirror algorithm for solving nonsmooth constrained convex problems. - Amir Beck; Aharon Ben-Tal; Nili Guttmann-Beck; Luba Tetruashvili (Oper. Res. Lett., 2010)

Structured Total Maximum Likelihood: An Alternative to Structured Total Least Squares. - Amir Beck; Yonina C. Eldar (SIAM J. Matrix Anal. Appl., 2010)

A Linearly Convergent Algorithm for Solving a Class of Nonconvex/Affine Feasibility Problems. - Amir Beck; Marc Teboulle (Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 2011)

A new semidefinite programming relaxation scheme for a class of quadratic matrix problems. - Amir Beck; Yoel Drori; Marc Teboulle (Oper. Res. Lett., 2012)

An improved ellipsoid method for solving convex differentiable optimization problems. - Amir Beck; Shoham Sabach (Oper. Res. Lett., 2012)

A Sequential Ascending Parameter Method for Solving Constrained Minimization Problems. - Amir Beck; Aharon Ben-Tal; Luba Tetruashvili (SIAM J. Optim., 2012)

On the Solution of the GPS Localization and Circle Fitting Problems. - Amir Beck; Dror Pan (SIAM J. Optim., 2012)

Smoothing and First Order Methods: A Unified Framework. - Amir Beck; Marc Teboulle (SIAM J. Optim., 2012)

Nonlinear compressed sensing with application to phase retrieval. - Amir Beck; Yonina C. Eldar; Yoav Shechtman (GlobalSIP, 2013)

Sparse signal recovery from nonlinear measurements. - Amir Beck; Yonina C. Eldar (ICASSP, 2013)

Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms. - Amir Beck; Yonina C. Eldar (SIAM J. Optim., 2013)

On the Convergence of Block Coordinate Descent Type Methods. - Amir Beck; Luba Tetruashvili (SIAM J. Optim., 2013)

Introduction to Nonlinear Optimization - Theory, Algorithms, and Applications with MATLAB. - Amir Beck (SIAM, 2014)

The 2-Coordinate Descent Method for Solving Double-Sided Simplex Constrained Minimization Problems. - Amir Beck (J. Optim. Theory Appl., 2014)

A first order method for finding minimal norm-like solutions of convex optimization problems. - Amir Beck; Shoham Sabach (Math. Program., 2014)

A fast dual proximal gradient algorithm for convex minimization and applications. - Amir Beck; Marc Teboulle (Oper. Res. Lett., 2014)

An O(1/k) Gradient Method for Network Resource Allocation Problems. - Amir Beck; Angelia Nedic; Asuman E. Ozdaglar; Marc Teboulle (IEEE Trans. Control. Netw. Syst., 2014)

GESPAR: Efficient Phase Retrieval of Sparse Signals. - Yoav Shechtman; Amir Beck; Yonina C. Eldar (IEEE Trans. Signal Process., 2014)

Smoothing and Decomposition for Analysis Sparse Recovery. - Zhao Tan; Yonina C. Eldar; Amir Beck; Arye Nehorai (IEEE Trans. Signal Process., 2014)

Weiszfeld's Method: Old and New Results. - Amir Beck; Shoham Sabach (J. Optim. Theory Appl., 2015)

On the Convergence of Alternating Minimization for Convex Programming with Applications to Iteratively Reweighted Least Squares and Decomposition Schemes. - Amir Beck (SIAM J. Optim., 2015)

The Cyclic Block Conditional Gradient Method for Convex Optimization Problems. - Amir Beck; Edouard Pauwels; Shoham Sabach (SIAM J. Optim., 2015)

The Sparse Principal Component Analysis Problem: Optimality Conditions and Algorithms. - Amir Beck; Yakov Vaisbourd (J. Optim. Theory Appl., 2016)

On the Minimization Over Sparse Symmetric Sets: Projections, Optimality Conditions, and Algorithms. - Amir Beck; Nadav Hallak (Math. Oper. Res., 2016)

Rate of convergence analysis of dual-based variables decomposition methods for strongly convex problems. - Amir Beck; Luba Tetruashvili; Yakov Vaisbourd; Ariel Shemtov (Oper. Res. Lett., 2016)

An Alternating Semiproximal Method for Nonconvex Regularized Structured Total Least Squares Problems. - Amir Beck; Shoham Sabach; Marc Teboulle (SIAM J. Matrix Anal. Appl., 2016)

On Fienup Methods for Regularized Phase Retrieval. - Edouard Pauwels; Amir Beck; Yonina C. Eldar; Shoham Sabach (CoRR, 2017)

A branch and bound algorithm for nonconvex quadratic optimization with ball and linear constraints. - Amir Beck; Dror Pan (J. Glob. Optim., 2017)

Linearly convergent away-step conditional gradient for non-strongly convex functions. - Amir Beck; Shimrit Shtern (Math. Program., 2017)

Globally solving a class of optimal power flow problems in radial networks by tree reduction. - Amir Beck; Yuval Beck; Yoash Levron; Alex Shtof; Luba Tetruashvili (J. Glob. Optim., 2018)

Primal and dual predicted decrease approximation methods. - Amir Beck; Edouard Pauwels; Shoham Sabach (Math. Program., 2018)

Proximal Mapping for Symmetric Penalty and Sparsity. - Amir Beck; Nadav Hallak (SIAM J. Optim., 2018)

Globally Solving the Trust Region Subproblem Using Simple First-Order Methods. - Amir Beck; Yakov Vaisbourd (SIAM J. Optim., 2018)

On Fienup Methods for Sparse Phase Retrieval. - Edouard Pauwels; Amir Beck; Yonina C. Eldar; Shoham Sabach (IEEE Trans. Signal Process., 2018)

Optimization problems involving group sparsity terms. - Amir Beck; Nadav Hallak (Math. Program., 2019)

FOM - a MATLAB toolbox of first-order methods for solving convex optimization problems. - Amir Beck; Nili Guttmann-Beck (Optim. Methods Softw., 2019)

On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks. - Jeremias Sulam; Aviad Aberdam; Amir Beck; Michael Elad (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

On the Convergence to Stationary Points of Deterministic and Randomized Feasible Descent Directions Methods. - Amir Beck; Nadav Hallak (SIAM J. Optim., 2020)

Dual Randomized Coordinate Descent Method for Solving a Class of Nonconvex Problems. - Amir Beck; Marc Teboulle (SIAM J. Optim., 2021)

Sparse regularization via bidualization. - Amir Beck; Yehonathan Refael (J. Glob. Optim., 2022)

An Accelerated Coordinate Gradient Descent Algorithm for Non-separable Composite Optimization. - Aviad Aberdam; Amir Beck (J. Optim. Theory Appl., 2022)

The regularized feasible directions method for nonconvex optimization. - Amir Beck; Nadav Hallak (Oper. Res. Lett., 2022)

New results on multi-dimensional linear discriminant analysis. - Amir Beck; Raz Sharon (Oper. Res. Lett., 2022)

A branch and bound method solving the max-min linear discriminant analysis problem. - Amir Beck; Raz Sharon (Optim. Methods Softw., 2023)

A Dynamic Smoothing Technique for a Class of Nonsmooth Optimization Problems on Manifolds. - Amir Beck; Israel Rosset (SIAM J. Optim., 2023)

Exact Lipschitz Regularization of Convex Optimization Problems. - Amir Beck; Marc Teboulle (J. Optim. Theory Appl., 2024)