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A Proximal Operator for Inducing 2:4-Sparsity
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2025
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Jonas M. K眉bler
Yu-Xiang Wang
Shoham Sabach
Navid Ansari
Matth盲us Kleinde脽ner
Kailash Budhathoki
Volkan Cevher
George Karypis
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Comparing Few to Rank Many: Active Human Preference Learning using
Randomized Frank-Wolfe
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2024
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Kiran Koshy Thekumparampil
Gaurush Hiranandani
Kousha Kalantari
Shoham Sabach
Branislav Kveton
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A Fast Algorithm for Convex Composite Bi-Level Optimization
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2024
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Roey Merchav
Shoham Sabach
Marc Teboulle
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Learning the Target Network in Function Space
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2024
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Kavosh Asadi
Yao Liu
Shoham Sabach
Ming Yin
Rasool Fakoor
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Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate
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2024
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Ruichen Jiang
Parameswaran Raman
Shoham Sabach
Aryan Mokhtari
Mingyi Hong
Volkan Cevher
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MADA: Meta-Adaptive Optimizers through hyper-gradient Descent
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2024
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Kaan Ozkara
Can Karakus
Parameswaran Raman
Mingyi Hong
Shoham Sabach
Branislav Kveton
Volkan Cevher
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Convex Bi-level Optimization Problems with Nonsmooth Outer Objective Function
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2023
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Roey Merchav
Shoham Sabach
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A semi-Bregman proximal alternating method for a class of nonconvex problems: local and global convergence analysis
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2023
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Eyal Cohen
D. L眉ke
Titus Pin牛a
Shoham Sabach
Marc Teboulle
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Nested Alternating Minimization with FISTA for Non-convex and Non-smooth Optimization Problems
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2023
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Eyal Gur
Shoham Sabach
Shimrit Shtern
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Direct, Fast and Convergent Solvers for the Non-Convex and Non-Smooth Tdoa Localization Problem
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2023
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Eyal Gur
Alon Amar
Shoham Sabach
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TD Convergence: An Optimization Perspective
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2023
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Kavosh Asadi
Shoham Sabach
Yao Liu
Omer Gottesman
Rasool Fakoor
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Resetting the Optimizer in Deep RL: An Empirical Study
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2023
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Kavosh Asadi
Rasool Fakoor
Shoham Sabach
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Convex Bi-Level Optimization Problems with Non-smooth Outer Objective Function
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2023
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Roey Merchav
Shoham Sabach
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TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
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2023
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Zuxin Liu
Jesse Zhang
Kavosh Asadi
Yao Liu
Ding Zhao
Shoham Sabach
Rasool Fakoor
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Convergent Nested Alternating Minimization Algorithms for Nonconvex Optimization Problems
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2022
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Eyal Gur
Shoham Sabach
Shimrit Shtern
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Faster Lagrangian-Based Methods in Convex Optimization
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2022
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Shoham Sabach
Marc Teboulle
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Non-Euclidean proximal methods for convex-concave saddle-point problems
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2021
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Eyal Cohen
Shoham Sabach
Marc Teboulle
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Faster Lagrangian-Based Methods in Convex Optimization.
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2020
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Shoham Sabach
Marc Teboulle
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Non-Convex Split Feasibility Problems: Models, Algorithms and Theory
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2020
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Aviv Gibali
Shoham Sabach
Sergey Voldman
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Non-Convex Split Feasibility Problems: Models, Algorithms and Theory
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2020
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Aviv Gibali
Shoham Sabach
Sergey Voldman
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Stochastic proximal linear method for structured non-convex problems
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2020
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Tamir Hazan
Shoham Sabach
Sergey Voldman
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Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization
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2020
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Mahesh Chandra Mukkamala
Peter Ochs
Thomas Pock
Shoham Sabach
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Alternating Minimization Based First-Order Method for the Wireless Sensor Network Localization Problem
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2020
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Eyal Gur
Shoham Sabach
Shimrit Shtern
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Faster Lagrangian-Based Methods in Convex Optimization
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2020
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Shoham Sabach
Marc Teboulle
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Non-Convex Split Feasibility Problems: Models, Algorithms and Theory
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2020
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Aviv Gibali
Shoham Sabach
Sergey Voldman
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Improved complexities of conditional gradient-type methods with applications to robust matrix recovery problems
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2019
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Dan Garber
Atara Kaplan
Shoham Sabach
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Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization
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2019
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Mahesh Chandra Mukkamala
Peter Ochs
Thomas Pock
Shoham Sabach
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Lagrangian methods for composite optimization
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2019
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Shoham Sabach
Marc Teboulle
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Optimization on Spheres: Models and Proximal Algorithms with Computational Performance Comparisons
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2019
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D. L眉ke
Shoham Sabach
Marc Teboulle
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Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization
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2019
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Mahesh Chandra Mukkamala
Peter Ochs
Thomas Pock
Shoham Sabach
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Nonconvex Lagrangian-Based Optimization: Monitoring Schemes and Global Convergence
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2018
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J茅r么me Bolte
Shoham Sabach
Marc Teboulle
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Fast Generalized Conditional Gradient Method with Applications to Matrix Recovery Problems.
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2018
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Dan Garber
Shoham Sabach
Atara Kaplan
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Nonconvex Lagrangian-Based Optimization: Monitoring Schemes and Global Convergence
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2018
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J茅r么me Bolte
Shoham Sabach
Marc Teboulle
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First Order Methods Beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems
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2018
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J茅r么me Bolte
Shoham Sabach
Marc Teboulle
Yakov Vaisbourd
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Improved Complexities of Conditional Gradient-Type Methods with Applications to Robust Matrix Recovery Problems
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2018
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Dan Garber
Shoham Sabach
Atara Kaplan
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Nonconvex Lagrangian-Based Optimization: Monitoring Schemes and Global Convergence
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2018
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J茅r么me Bolte
Shoham Sabach
Marc Teboulle
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On Fienup Methods for Sparse Phase Retrieval
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2017
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Edouard Pauwels
Amir Beck
Yonina C. Eldar
Shoham Sabach
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A simple globally convergent algorithm for the nonsmooth nonconvex single source localization problem
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2017
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D. L眉ke
Shoham Sabach
Marc Teboulle
Kobi Zatlawey
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First Order Methods beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems
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2017
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J茅r么me Bolte
Shoham Sabach
Marc Teboulle
Yakov Vaisbourd
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A First Order Method for Solving Convex Bi-Level Optimization Problems
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2017
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Shoham Sabach
Shimrit Shtern
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Primal and dual predicted decrease approximation methods
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2017
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Amir Beck
Edouard Pauwels
Shoham Sabach
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A First Order Method for Solving Convex Bilevel Optimization Problems
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2017
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Shoham Sabach
Shimrit Shtern
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A First Order Method for Solving Convex Bi-Level Optimization Problems
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2017
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Shoham Sabach
Shimrit Shtern
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First Order Methods beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems
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2017
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J茅r么me Bolte
Shoham Sabach
Marc Teboulle
Yakov Vaisbourd
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An Alternating Semiproximal Method for Nonconvex Regularized Structured Total Least Squares Problems
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2016
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Amir Beck
Shoham Sabach
Marc Teboulle
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Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems
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2016
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Thomas Pock
Shoham Sabach
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The Cyclic Block Conditional Gradient Method for Convex Optimization Problems
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2015
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Amir Beck
Edouard Pauwels
Shoham Sabach
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A simple algorithm for a class of nonsmooth convex鈥揷oncave saddle-point problems
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2015
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Yoel Drori
Shoham Sabach
Marc Teboulle
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Proximal Heterogeneous Block Implicit-Explicit Method and Application to Blind Ptychographic Diffraction Imaging
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2015
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Robert Hesse
D. L眉ke
Shoham Sabach
Matthew K. Tam
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The Cyclic Block Conditional Gradient Method for Convex Optimization Problems
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2015
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Amir Beck
Edouard Pauwels
Shoham Sabach
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The Cyclic Block Conditional Gradient Method for Convex Optimization Problems
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2015
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Amir Beck
Edouard Pauwels
Shoham Sabach
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Weiszfeld鈥檚 Method: Old and New Results
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2014
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Amir Beck
Shoham Sabach
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Proximal Heterogeneous Block Input-Output Method and application to Blind Ptychographic Diffraction Imaging
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2014
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Robert Hesse
D. L眉ke
Shoham Sabach
Matthew K. Tam
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A first order method for finding minimal norm-like solutions of convex optimization problems
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2013
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Amir Beck
Shoham Sabach
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Proximal alternating linearized minimization for nonconvex and nonsmooth problems
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2013
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J茅r么me Bolte
Shoham Sabach
Marc Teboulle
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Existence and Approximation of Fixed Points of Right Bregman Nonexpansive Operators
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2013
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Victoria Mart铆n-M谩rquez
Simeon Reich
Shoham Sabach
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Bregman strongly nonexpansive operators in reflexive Banach spaces
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2012
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Victoria Mart铆n-M谩rquez
Simeon Reich
Shoham Sabach
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Iterative methods for approximating fixed points of Bregman nonexpansive operators
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2012
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Victoria Mart铆n-M谩rquez
Simeon Reich
Shoham Sabach
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An improved ellipsoid method for solving convex differentiable optimization problems
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2012
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Amir Beck
Shoham Sabach
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Right Bregman nonexpansive operators in Banach spaces
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2012
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Victoria Mart铆n-M谩rquez
Simeon Reich
Shoham Sabach
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A Generalized Univariate Newton Method Motivated by Proximal Regularization
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2012
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Regina S. Burachik
C. Yal莽谋n Kaya
Shoham Sabach
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Products of Finitely Many Resolvents of Maximal Monotone Mappings in Reflexive Banach Spaces
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2011
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Shoham Sabach
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Iterative Methods for Solving Systems of Variational Inequalities in Reflexive Banach Spaces
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2011
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G. Kassay
Simeon Reich
Shoham Sabach
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Existence and Approximation of Fixed Points of Bregman Firmly Nonexpansive Mappings in Reflexive Banach Spaces
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2011
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Simeon Reich
Shoham Sabach
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A projection method for solving nonlinear problems in reflexive Banach spaces
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2010
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Simeon Reich
Shoham Sabach
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Two strong convergence theorems for Bregman strongly nonexpansive operators in reflexive Banach spaces
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2010
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Simeon Reich
Shoham Sabach
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Two Strong Convergence Theorems for a Proximal Method in Reflexive Banach Spaces
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2010
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Simeon Reich
Shoham Sabach
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A Mosco stability theorem for the generalized proximal mapping
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2010
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Dan Butnariu
Elena Resmerita
Shoham Sabach
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