Amir Beck

发表

Regularization in Regression with Bounded Noise: A Chebyshev Center Approach

Yonina C. Eldar, Amir Beck, A. Beck, 2007, SIAM J. Matrix Anal. Appl..

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

Amir Beck, 2014, J. Optim. Theory Appl..

Doubly Constrained Robust Capon Beamformer With Ellipsoidal Uncertainty Sets

Yonina C. Eldar, Amir Beck, A. Beck, 2007, IEEE Transactions on Signal Processing.

The matrix-restricted total least-squares problem

Amir Beck, A. Beck, 2007, Signal Process..

Maximum likelihood estimation in linear models with a Gaussian model matrix

Ami Wiesel, Yonina C. Eldar, Amir Beck, 2006, IEEE Signal Processing Letters.

Chapter 6: The Proximal Operator

Amir Beck, A. Beck, 2017 .

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

Marc Teboulle, Amir Beck, A. Beck, 2003, Optim. Methods Softw..

MSE estimation of multichannel signals with model uncertainties

Yonina C. Eldar, Amir Beck, Aharon Ben-Tal, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

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

Marc Teboulle, Amir Beck, A. Beck, 2006, Math. Oper. Res..

Duality in robust optimization: Primal worst equals dual best

Amir Beck, Aharon Ben-Tal, A. Beck, 2009, Oper. Res. Lett..

Smoothing and Decomposition for Analysis Sparse Recovery

Yonina C. Eldar, Arye Nehorai, Zhao Tan, 2013, IEEE Transactions on Signal Processing.

First-Order Methods in Optimization

Amir Beck, A. Beck, 2017 .

Chapter 2: Optimality Conditions for Unconstrained Optimization

Amir Beck, 2014 .

Strong Duality in Nonconvex Quadratic Optimization with Two Quadratic Constraints

Yonina C. Eldar, Amir Beck, A. Beck, 2006, SIAM J. Optim..

Convergence of an Inexact Majorization-Minimization Method for Solving a Class of Composite Optimization Problems

Amir Beck, Dror Pan, A. Beck, 2018 .

Chapter 8: Primal and Dual Projected Subgradient Methods

Amir Beck, 2017 .

The Cyclic Block Conditional Gradient Method for Convex Optimization Problems

Edouard Pauwels, Amir Beck, Shoham Sabach, 2015, SIAM J. Optim..

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

Marc Teboulle, Amir Beck, A. Beck, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Robust Mean-Squared Error Estimation of Multiple Signals in Linear Systems Affected by Model and Noise Uncertainties

Yonina C. Eldar, Amir Beck, Aharon Ben-Tal, 2005, Math. Program..

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

Amir Beck, A. Beck, 2014, MOS-SIAM Series on Optimization.

Global Optimality Conditions for Quadratic Optimization Problems with Binary Constraints

Marc Teboulle, Amir Beck, 2000, SIAM J. Optim..

A sequential parametric convex approximation method with applications to nonconvex truss topology design problems

Amir Beck, Aharon Ben-Tal, Luba Tetruashvili, 2010, J. Glob. Optim..

On the Convergence of Block Coordinate Descent Type Methods

Amir Beck, Luba Tetruashvili, A. Beck, 2013, SIAM J. Optim..

The Sparse Principal Component Analysis Problem: Optimality Conditions and Algorithms

Amir Beck, Yakov Vaisbourd, 2016, J. Optim. Theory Appl..

A Sequential Ascending Parameter Method for Solving Constrained Minimization Problems

Amir Beck, Aharon Ben-Tal, Luba Tetruashvili, 2012, SIAM J. Optim..

An Alternating Semiproximal Method for Nonconvex Regularized Structured Total Least Squares Problems

Marc Teboulle, Amir Beck, Shoham Sabach, 2016, SIAM J. Matrix Anal. Appl..

An improved ellipsoid method for solving convex differentiable optimization problems

Amir Beck, Shoham Sabach, A. Beck, 2012, Oper. Res. Lett..

Chapter 1: Vector Spaces

Amir Beck, A. Beck, 2017 .

Globally solving a class of optimal power flow problems in radial networks by tree reduction

Yoash Levron, Yuval Beck, Amir Beck, 2018, J. Glob. Optim..

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

Marc Teboulle, Amir Beck, A. Beck, 2009, IEEE Transactions on Image Processing.

Mean-Squared Error Estimation for Linear Systems with Block Circulant Uncertainty

Yonina C. Eldar, Amir Beck, Aharon Ben-Tal, 2007, SIAM J. Matrix Anal. Appl..

The CoMirror algorithm for solving nonsmooth constrained convex problems

Amir Beck, Aharon Ben-Tal, Nili Guttmann-Beck, 2010, Oper. Res. Lett..

Chapter 9: Mirror Descent

Amir Beck, 2017 .

A Fast Method for Finding the Global Solution of the Regularized Structured Total Least Squares Problem for Image Deblurring

Christian Kanzow, Amir Beck, Aharon Ben-Tal, 2008, SIAM J. Matrix Anal. Appl..

Smoothing and First Order Methods: A Unified Framework

Marc Teboulle, Amir Beck, A. Beck, 2012, SIAM J. Optim..

Chapter 2: Extended Real-Valued Functions

Amir Beck, A. Beck, 2017 .

Gradient-based algorithms with applications to signal-recovery problems

Marc Teboulle, Amir Beck, A. Beck, 2010, Convex Optimization in Signal Processing and Communications.

On the Solution of the GPS Localization and Circle Fitting Problems

Amir Beck, Dror Pan, 2012, SIAM J. Optim..

Proximal Mapping for Symmetric Penalty and Sparsity

Nadav Hallak, Amir Beck, A. Beck, 2018, SIAM J. Optim..

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

Amir Beck, Shoham Sabach, A. Beck, 2014, Math. Program..

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

Amir Beck, Aharon Ben-Tal, A. Beck, 2006, SIAM J. Optim..

Optimization problems involving group sparsity terms

Nadav Hallak, Amir Beck, A. Beck, 2019, Math. Program..

Sparse signal recovery from nonlinear measurements

Yonina C. Eldar, Amir Beck, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Quadratic Matrix Programming

Amir Beck, A. Beck, 2006, SIAM J. Optim..

Exact and Approximate Solutions of Source Localization Problems

Jian Li, Petre Stoica, Amir Beck, 2008, IEEE Transactions on Signal Processing.

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

Amir Beck, Dror Pan, A. Beck, 2017, J. Glob. Optim..

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

Shimrit Shtern, Amir Beck, A. Beck, 2015, Math. Program..

Finding a Global Optimal Solution for a Quadratically Constrained Fractional Quadratic Problem with Applications to the Regularized Total Least Squares

Marc Teboulle, Amir Beck, Aharon Ben-Tal, 2006, SIAM J. Matrix Anal. Appl..

An $O(1/k)$ Gradient Method for Network Resource Allocation Problems

Marc Teboulle, Angelia Nedić, Amir Beck, 2014, IEEE Transactions on Control of Network Systems.

A fast dual proximal gradient algorithm for convex minimization and applications

Marc Teboulle, Amir Beck, A. Beck, 2014, Oper. Res. Lett..

Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms

Yonina C. Eldar, Amir Beck, A. Beck, 2012, SIAM J. Optim..

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

Amir Beck, Nili Guttmann-Beck, A. Beck, 2019, Optim. Methods Softw..

Iterative Minimization Schemes for Solving the Single Source Localization Problem

Marc Teboulle, Amir Beck, Zahar Chikishev, 2008, SIAM J. Optim..

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

Marc Teboulle, Amir Beck, A. Beck, 2004, Math. Methods Oper. Res..

Nonlinear compressed sensing with application to phase retrieval

Yonina C. Eldar, Yoav Shechtman, Amir Beck, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

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

Nadav Hallak, Amir Beck, A. Beck, 2020, SIAM J. Optim..

A Minimax Chebyshev Estimator for Bounded Error Estimation

Yonina C. Eldar, Marc Teboulle, Amir Beck, 2008, IEEE Transactions on Signal Processing.

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

Marc Teboulle, Amir Beck, A. Beck, 2009, Math. Program..

On the Convergence of Alternating Minimization for Convex Programming with Applications to Iteratively Reweighted Least Squares and Decomposition Schemes

Amir Beck, A. Beck, 2015, SIAM J. Optim..

GESPAR: Efficient Phase Retrieval of Sparse Signals

Yonina C. Eldar, Yoav Shechtman, Amir Beck, 2013, IEEE Transactions on Signal Processing.

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

Nadav Hallak, Amir Beck, A. Beck, 2016, Math. Oper. Res..

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, A. Beck, 2007, J. Glob. Optim..

Mirror descent and nonlinear projected subgradient methods for convex optimization

Marc Teboulle, Amir Beck, A. Beck, 2003, Oper. Res. Lett..

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

Marc Teboulle, Amir Beck, A. Beck, 2000, Oper. Res. Lett..

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

Yonina C. Eldar, Amir Beck, A. Beck, 2010, SIAM J. Matrix Anal. Appl..

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

Amir Beck, Yakov Vaisbourd, 2018, SIAM J. Optim..

On Fienup Methods for Sparse Phase Retrieval

Yonina C. Eldar, Amir Beck, Shoham Sabach, 2017, IEEE Transactions on Signal Processing.

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

Marc Teboulle, Amir Beck, Yoel Drori, 2012, Oper. Res. Lett..

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

Marc Teboulle, Amir Beck, A. Beck, 2009, SIAM J. Imaging Sci..

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

Marc Teboulle, Amir Beck, A. Beck, 2011, Fixed-Point Algorithms for Inverse Problems in Science and Engineering.

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

Amir Beck, A. Beck, 2009, J. Optimization Theory and Applications.

Appreciation to Journal of Mathematical Imaging and Vision Reviewers

Martin Burger, Isabelle Bloch, Aaron Carass, 2016, Journal of Mathematical Imaging and Vision.

Weiszfeld’s Method: Old and New Results

Amir Beck, Shoham Sabach, A. Beck, 2015, J. Optim. Theory Appl..

Primal and dual predicted decrease approximation methods

Edouard Pauwels, Amir Beck, Shoham Sabach, 2018, Math. Program..

A Global Solution for the Structured Total Least Squares Problem with Block Circulant Matrices

Amir Beck, Aharon Ben-Tal, A. Beck, 2005, SIAM J. Matrix Anal. Appl..

Rate of convergence analysis of dual-based variables decomposition methods for strongly convex problems

Amir Beck, Yakov Vaisbourd, Luba Tetruashvili, 2016, Oper. Res. Lett..

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

Marc Teboulle, Amir Beck, 2021, SIAM J. Optim..

On Minimizing Quadratically Constrained Ratio of Two Quadratic Functions ∗

Amir Beck, A. Beck, 2010 .

Chapter 10: The Proximal Gradient Method

Amir Beck, A. Beck, 2017 .