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Amir Beck
Researcher at Tel Aviv University
Publications - 91
Citations - 22433
Amir Beck is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Convex optimization & Rate of convergence. The author has an hindex of 38, co-authored 88 publications receiving 18669 citations. Previous affiliations of Amir Beck include Technion – Israel Institute of Technology.
Papers
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A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
Amir Beck,Marc Teboulle +1 more
TL;DR: A new fast iterative shrinkage-thresholding algorithm (FISTA) which preserves the computational simplicity of ISTA but with a global rate of convergence which is proven to be significantly better, both theoretically and practically.
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Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
Amir Beck,Marc Teboulle +1 more
TL;DR: A fast algorithm is derived for the constrained TV-based image deblurring problem with box constraints by combining an acceleration of the well known dual approach to the denoising problem with a novel monotone version of a fast iterative shrinkage/thresholding algorithm (FISTA).
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Mirror descent and nonlinear projected subgradient methods for convex optimization
Amir Beck,Marc Teboulle +1 more
TL;DR: It is shown that the MDA can be viewed as a nonlinear projected-subgradient type method, derived from using a general distance-like function instead of the usual Euclidean squared distance, and derived in a simple way convergence and efficiency estimates.
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On the Convergence of Block Coordinate Descent Type Methods
Amir Beck,Luba Tetruashvili +1 more
TL;DR: This paper analyzes the block coordinate gradient projection method in which each iteration consists of performing a gradient projection step with respect to a certain block taken in a cyclic order and establishes global sublinear rate of convergence.