Amir Beck

According to our database, Amir Beck authored at least 77 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exact Lipschitz Regularization of Convex Optimization Problems.

Amir Beck, Marc Teboulle

J. Optim. Theory Appl., December, 2024

2023

A Dynamic Smoothing Technique for a Class of Nonsmooth Optimization Problems on Manifolds.

Amir Beck, Israel Rosset

SIAM J. Optim., September, 2023

A branch and bound method solving the max-min linear discriminant analysis problem.

Amir Beck, Raz Sharon

Optim. Methods Softw., September, 2023

2022

New results on multi-dimensional linear discriminant analysis.

Amir Beck, Raz Sharon

Oper. Res. Lett., 2022

The regularized feasible directions method for nonconvex optimization.

Amir Beck, Nadav Hallak

Oper. Res. Lett., 2022

An Accelerated Coordinate Gradient Descent Algorithm for Non-separable Composite Optimization.

Aviad Aberdam, Amir Beck

J. Optim. Theory Appl., 2022

Sparse regularization via bidualization.

Amir Beck, Yehonathan Refael

J. Glob. Optim., 2022

2021

Dual Randomized Coordinate Descent Method for Solving a Class of Nonconvex Problems.

Amir Beck, Marc Teboulle

SIAM J. Optim., 2021

2020

On the Convergence to Stationary Points of Deterministic and Randomized Feasible Descent Directions Methods.

Amir Beck, Nadav Hallak

SIAM J. Optim., 2020

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

2019

FOM - a MATLAB toolbox of first-order methods for solving convex optimization problems.

Amir Beck, Nili Guttmann-Beck

Optim. Methods Softw., 2019

Optimization problems involving group sparsity terms.

Amir Beck, Nadav Hallak

Math. Program., 2019

2018

On Fienup Methods for Sparse Phase Retrieval.

Edouard Pauwels, Amir Beck, Yonina C. Eldar, Shoham Sabach

IEEE Trans. Signal Process., 2018

Globally Solving the Trust Region Subproblem Using Simple First-Order Methods.

Amir Beck, Yakov Vaisbourd

SIAM J. Optim., 2018

Proximal Mapping for Symmetric Penalty and Sparsity.

Amir Beck, Nadav Hallak

SIAM J. Optim., 2018

Primal and dual predicted decrease approximation methods.

Amir Beck, Edouard Pauwels, Shoham Sabach

Math. Program., 2018

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

2017

Linearly convergent away-step conditional gradient for non-strongly convex functions.

Amir Beck, Shimrit Shtern

Math. Program., 2017

A branch and bound algorithm for nonconvex quadratic optimization with ball and linear constraints.

Amir Beck, Dror Pan

J. Glob. Optim., 2017

On Fienup Methods for Regularized Phase Retrieval.

Edouard Pauwels, Amir Beck, Yonina C. Eldar, Shoham Sabach

CoRR, 2017

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

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

On the Minimization Over Sparse Symmetric Sets: Projections, Optimality Conditions, and Algorithms.

Amir Beck, Nadav Hallak

Math. Oper. Res., 2016

The Sparse Principal Component Analysis Problem: Optimality Conditions and Algorithms.

Amir Beck, Yakov Vaisbourd

J. Optim. Theory Appl., 2016

2015

The Cyclic Block Conditional Gradient Method for Convex Optimization Problems.

Amir Beck, Edouard Pauwels, Shoham Sabach

SIAM J. Optim., 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

Weiszfeld's Method: Old and New Results.

Amir Beck, Shoham Sabach

J. Optim. Theory Appl., 2015

2014

Smoothing and Decomposition for Analysis Sparse Recovery.

Zhao Tan, Yonina C. Eldar, Amir Beck, Arye Nehorai

IEEE Trans. Signal Process., 2014

GESPAR: Efficient Phase Retrieval of Sparse Signals.

Yoav Shechtman, Amir Beck, Yonina C. Eldar

IEEE Trans. Signal Process., 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

A fast dual proximal gradient algorithm for convex minimization and applications.

Amir Beck, Marc Teboulle

Oper. Res. Lett., 2014

A first order method for finding minimal norm-like solutions of convex optimization problems.

Amir Beck, Shoham Sabach

Math. Program., 2014

The 2-Coordinate Descent Method for Solving Double-Sided Simplex Constrained Minimization Problems.

Amir Beck

J. Optim. Theory Appl., 2014

Introduction to Nonlinear Optimization - Theory, Algorithms, and Applications with MATLAB.

Amir Beck

MOS-SIAM Series on Optimization 19, SIAM, ISBN: 978-1-611-97364-8, 2014

2013

On the Convergence of Block Coordinate Descent Type Methods.

Amir Beck, Luba Tetruashvili

SIAM J. Optim., 2013

Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms.

Amir Beck, Yonina C. Eldar

SIAM J. Optim., 2013

Sparse signal recovery from nonlinear measurements.

Amir Beck, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2013

Nonlinear compressed sensing with application to phase retrieval.

Amir Beck, Yonina C. Eldar, Yoav Shechtman

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Smoothing and First Order Methods: A Unified Framework.

Amir Beck, Marc Teboulle

SIAM J. Optim., 2012

On the Solution of the GPS Localization and Circle Fitting Problems.

Amir Beck, Dror Pan

SIAM J. Optim., 2012

A Sequential Ascending Parameter Method for Solving Constrained Minimization Problems.

Amir Beck, Aharon Ben-Tal, Luba Tetruashvili

SIAM J. Optim., 2012

An improved ellipsoid method for solving convex differentiable optimization problems.

Amir Beck, Shoham Sabach

Oper. Res. Lett., 2012

A new semidefinite programming relaxation scheme for a class of quadratic matrix problems.

Amir Beck, Yoel Drori, Marc Teboulle

Oper. Res. Lett., 2012

2011

A Linearly Convergent Algorithm for Solving a Class of Nonconvex/Affine Feasibility Problems.

Amir Beck, Marc Teboulle

Proceedings of the Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 2011

2010

Structured Total Maximum Likelihood: An Alternative to Structured Total Least Squares.

Amir Beck, Yonina C. Eldar

SIAM J. Matrix Anal. Appl., 2010

The CoMirror algorithm for solving nonsmooth constrained convex problems.

Amir Beck, Aharon Ben-Tal, Nili Guttmann-Beck, Luba Tetruashvili

Oper. Res. Lett., 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

Gradient-based algorithms with applications to signal-recovery problems.

Amir Beck, Marc Teboulle

Proceedings of the Convex Optimization in Signal Processing and Communications., 2010

2009

Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems.

Amir Beck, Marc Teboulle

IEEE Trans. Image Process., 2009

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems.

Amir Beck, Marc Teboulle

SIAM J. Imaging Sci., 2009

Duality in robust optimization: Primal worst equals dual best.

Amir Beck, Aharon Ben-Tal

Oper. Res. Lett., 2009

A convex optimization approach for minimizing the ratio of indefinite quadratic functions over an ellipsoid.

Amir Beck, Marc Teboulle

Math. Program., 2009

Convexity Properties Associated with Nonconvex Quadratic Matrix Functions and Applications to Quadratic Programming.

Amir Beck

J. Optimization Theory and Applications, 2009

A fast Iterative Shrinkage-Thresholding Algorithm with application to wavelet-based image deblurring.

Amir Beck, Marc Teboulle

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

A Minimax Chebyshev Estimator for Bounded Error Estimation.

Yonina C. Eldar, Amir Beck, Marc Teboulle

IEEE Trans. Signal Process., 2008

Exact and Approximate Solutions of Source Localization Problems.

Amir Beck, Petre Stoica, Jian Li

IEEE Trans. Signal Process., 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

Iterative Minimization Schemes for Solving the Single Source Localization Problem.

Amir Beck, Marc Teboulle, Zahar Chikishev

SIAM J. Optim., 2008

2007

Doubly Constrained Robust Capon Beamformer With Ellipsoidal Uncertainty Sets.

Amir Beck, Yonina C. Eldar

IEEE Trans. Signal Process., 2007

The matrix-restricted total least-squares problem.

Amir Beck

Signal Process., 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

Regularization in Regression with Bounded Noise: A Chebyshev Center Approach.

Amir Beck, Yonina C. Eldar

SIAM J. Matrix Anal. Appl., 2007

Quadratic Matrix Programming.

Amir Beck

SIAM J. Optim., 2007

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

2006

Maximum likelihood estimation in linear models with a Gaussian model matrix.

Ami Wiesel, Yonina C. Eldar, Amir Beck

IEEE Signal Process. Lett., 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

Strong Duality in Nonconvex Quadratic Optimization with Two Quadratic Constraints.

Amir Beck, Yonina C. Eldar

SIAM J. Optim., 2006

On the Solution of the Tikhonov Regularization of the Total Least Squares Problem.

Amir Beck, Aharon Ben-Tal

SIAM J. Optim., 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

A Linearly Convergent Dual-Based Gradient Projection Algorithm for Quadratically Constrained Convex Minimization.

Amir Beck, Marc Teboulle

Math. Oper. Res., 2006

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

MSE estimation of multichannel signals with model uncertainties.

Amir Beck, Yonina C. Eldar, Aharon Ben-Tal

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

A conditional gradient method with linear rate of convergence for solving convex linear systems.

Amir Beck, Marc Teboulle

Math. Methods Oper. Res., 2004

2003

Mirror descent and nonlinear projected subgradient methods for convex optimization.

Amir Beck, Marc Teboulle

Oper. Res. Lett., 2003

Convergence rate analysis and error bounds for projection algorithms in convex feasibility problems.

Amir Beck, Marc Teboulle

Optim. Methods Softw., 2003

2000

Global Optimality Conditions for Quadratic Optimization Problems with Binary Constraints.

Amir Beck, Marc Teboulle

SIAM J. Optim., 2000

A probabilistic result for the max-cut problem on random graphs.

Amir Beck, Marc Teboulle

Oper. Res. Lett., 2000