Shoham Sabach

According to our database, Shoham Sabach authored at least 41 papers between 2011 and 2024.

Collaborative distances:

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

2024

MADA: Meta-Adaptive Optimizers through hyper-gradient Descent.

Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher

CoRR, 2024

Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate.

Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher

CoRR, 2024

2023

Convex Bi-level Optimization Problems with Nonsmooth Outer Objective Function.

Roey Merchav, Shoham Sabach

SIAM J. Optim., December, 2023

Nested Alternating Minimization with FISTA for Non-convex and Non-smooth Optimization Problems.

Eyal Gur, Shoham Sabach, Shimrit Shtern

J. Optim. Theory Appl., December, 2023

Direct, fast and convergent solvers for the non-convex and non-smooth TDoA localization problem.

Eyal Gur, Alon Amar, Shoham Sabach

Digit. Signal Process., July, 2023

Convergent Nested Alternating Minimization Algorithms for Nonconvex Optimization Problems.

Eyal Gur, Shoham Sabach, Shimrit Shtern

Math. Oper. Res., February, 2023

TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models.

Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor

CoRR, 2023

Convex Bi-Level Optimization Problems with Non-smooth Outer Objective Function.

Roey Merchav, Shoham Sabach

CoRR, 2023

TD Convergence: An Optimization Perspective.

Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Resetting the Optimizer in Deep RL: An Empirical Study.

Kavosh Asadi, Rasool Fakoor, Shoham Sabach

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle.

Dan Garber, Tsur Livney, Shoham Sabach

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Faster Lagrangian-Based Methods in Convex Optimization.

Shoham Sabach, Marc Teboulle

SIAM J. Optim., 2022

From Cluster Ranking to Document Ranking.

Egor Markovskiy, Fiana Raiber, Shoham Sabach, Oren Kurland

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Improved complexities of conditional gradient-type methods with applications to robust matrix recovery problems.

Dan Garber, Atara Kaplan, Shoham Sabach

Math. Program., 2021

2020

Alternating Minimization Based First-Order Method for the Wireless Sensor Network Localization Problem.

Eyal Gur, Shoham Sabach, Shimrit Shtern

IEEE Trans. Signal Process., 2020

Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization.

Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach

SIAM J. Math. Data Sci., 2020

Stochastic proximal linear method for structured non-convex problems.

Tamir Hazan, Shoham Sabach, Sergey Voldman

Optim. Methods Softw., 2020

Non-Convex Split Feasibility Problems: Models, Algorithms and Theory.

Aviv Gibali, Shoham Sabach, Sergey Voldman

Open J. Math. Optim., 2020

2019

Optimization on Spheres: Models and Proximal Algorithms with Computational Performance Comparisons.

D. Russell Luke, Shoham Sabach, Marc Teboulle

SIAM J. Math. Data Sci., 2019

Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization.

Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach

CoRR, 2019

2018

On Fienup Methods for Sparse Phase Retrieval.

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

IEEE Trans. Signal Process., 2018

First Order Methods Beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems.

Jérôme Bolte, Shoham Sabach, Marc Teboulle, Yakov Vaisbourd

SIAM J. Optim., 2018

Primal and dual predicted decrease approximation methods.

Amir Beck, Edouard Pauwels, Shoham Sabach

Math. Program., 2018

Nonconvex Lagrangian-Based Optimization: Monitoring Schemes and Global Convergence.

Jérôme Bolte, Shoham Sabach, Marc Teboulle

Math. Oper. Res., 2018

Fast Generalized Conditional Gradient Method with Applications to Matrix Recovery Problems.

Dan Garber, Shoham Sabach, Atara Kaplan

CoRR, 2018

2017

A First Order Method for Solving Convex Bilevel Optimization Problems.

Shoham Sabach, Shimrit Shtern

SIAM J. Optim., 2017

A simple globally convergent algorithm for the nonsmooth nonconvex single source localization problem.

D. Russell Luke, Shoham Sabach, Marc Teboulle, Kobi Zatlawey

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

Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems.

Thomas Pock, Shoham Sabach

SIAM J. Imaging Sci., 2016

2015

The Cyclic Block Conditional Gradient Method for Convex Optimization Problems.

Amir Beck, Edouard Pauwels, Shoham Sabach

SIAM J. Optim., 2015

Proximal Heterogeneous Block Implicit-Explicit Method and Application to Blind Ptychographic Diffraction Imaging.

Robert Hesse, D. Russell Luke, Shoham Sabach, Matthew K. Tam

SIAM J. Imaging Sci., 2015

A simple algorithm for a class of nonsmooth convex-concave saddle-point problems.

Yoel Drori, Shoham Sabach, Marc Teboulle

Oper. Res. Lett., 2015

Weiszfeld's Method: Old and New Results.

Amir Beck, Shoham Sabach

J. Optim. Theory Appl., 2015

2014

Proximal alternating linearized minimization for nonconvex and nonsmooth problems.

Jérôme Bolte, Shoham Sabach, Marc Teboulle

Math. Program., 2014

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

Amir Beck, Shoham Sabach

Math. Program., 2014

2012

An improved ellipsoid method for solving convex differentiable optimization problems.

Amir Beck, Shoham Sabach

Oper. Res. Lett., 2012

A Generalized Univariate Newton Method Motivated by Proximal Regularization.

Regina Sandra Burachik, C. Yalçin Kaya, Shoham Sabach

J. Optim. Theory Appl., 2012

2011

Products of Finitely Many Resolvents of Maximal Monotone Mappings in Reflexive Banach Spaces.

Shoham Sabach

SIAM J. Optim., 2011

Iterative Methods for Solving Systems of Variational Inequalities in Reflexive Banach Spaces.

Gábor Kassay, Simeon Reich, Shoham Sabach

SIAM J. Optim., 2011

Existence and Approximation of Fixed Points of Bregman Firmly Nonexpansive Mappings in Reflexive Banach Spaces.

Simeon Reich, Shoham Sabach

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