Shoham Sabach

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 41

Top Topics

Gradient Method

Globally Convergent

Optimization Problems

Top Venues

J. Optim. Theory Appl.

Publications

Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. ICLR (2024)
Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. CoRR (2024)
Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor
Learning the Target Network in Function Space. CoRR (2024)
Eyal Cohen, D. Russell Luke, Titus Pinta, Shoham Sabach, Marc Teboulle
A semi-Bregman proximal alternating method for a class of nonconvex problems: local and global convergence analysis. J. Glob. Optim. 89 (1) (2024)
Noga Ram, Shoham Sabach
A Globally Convergent Inertial First-Order Optimization Method for Multidimensional Scaling. J. Optim. Theory Appl. 202 (2) (2024)
Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. AISTATS (2024)
Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent. CoRR (2024)
Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor
TD Convergence: An Optimization Perspective. CoRR (2023)
Roey Merchav, Shoham Sabach
Convex Bi-level Optimization Problems with Nonsmooth Outer Objective Function. SIAM J. Optim. 33 (4) (2023)
Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor
TD Convergence: An Optimization Perspective. NeurIPS (2023)
Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. CoRR (2023)
Kavosh Asadi, Rasool Fakoor, Shoham Sabach
Resetting the Optimizer in Deep RL: An Empirical Study. CoRR (2023)
Eyal Gur, Shoham Sabach, Shimrit Shtern
Convergent Nested Alternating Minimization Algorithms for Nonconvex Optimization Problems. Math. Oper. Res. 48 (1) (2023)
Kavosh Asadi, Rasool Fakoor, Shoham Sabach
Resetting the Optimizer in Deep RL: An Empirical Study. NeurIPS (2023)
Eyal Gur, Alon Amar, Shoham Sabach
Direct, fast and convergent solvers for the non-convex and non-smooth TDoA localization problem. Digit. Signal Process. 139 (2023)
Dan Garber, Tsur Livney, Shoham Sabach
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle. AISTATS (2023)
Roey Merchav, Shoham Sabach
Convex Bi-Level Optimization Problems with Non-smooth Outer Objective Function. CoRR (2023)
Eyal Gur, Shoham Sabach, Shimrit Shtern
Nested Alternating Minimization with FISTA for Non-convex and Non-smooth Optimization Problems. J. Optim. Theory Appl. 199 (3) (2023)
Egor Markovskiy, Fiana Raiber, Shoham Sabach, Oren Kurland
From Cluster Ranking to Document Ranking. SIGIR (2022)
Shoham Sabach, Marc Teboulle
Faster Lagrangian-Based Methods in Convex Optimization. SIAM J. Optim. 32 (1) (2022)
Dan Garber, Tsur Livney, Shoham Sabach
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle. CoRR (2022)
Dan Garber, Atara Kaplan, Shoham Sabach
Improved complexities of conditional gradient-type methods with applications to robust matrix recovery problems. Math. Program. 186 (1) (2021)
Shoham Sabach, Marc Teboulle
Faster Lagrangian-Based Methods in Convex Optimization. CoRR (2020)
Eyal Gur, Shoham Sabach, Shimrit Shtern
Alternating Minimization Based First-Order Method for the Wireless Sensor Network Localization Problem. CoRR (2020)
Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach
Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization. SIAM J. Math. Data Sci. 2 (3) (2020)
Aviv Gibali, Shoham Sabach, Sergey Voldman
Non-Convex Split Feasibility Problems: Models, Algorithms and Theory. Open J. Math. Optim. 1 (2020)
Tamir Hazan, Shoham Sabach, Sergey Voldman
Stochastic proximal linear method for structured non-convex problems. Optim. Methods Softw. 35 (5) (2020)
Eyal Gur, Shoham Sabach, Shimrit Shtern
Alternating Minimization Based First-Order Method for the Wireless Sensor Network Localization Problem. IEEE Trans. Signal Process. 68 (2020)
D. Russell Luke, Shoham Sabach, Marc Teboulle
Optimization on Spheres: Models and Proximal Algorithms with Computational Performance Comparisons. SIAM J. Math. Data Sci. 1 (3) (2019)
Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach
Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization. CoRR (2019)
Jérôme Bolte, Shoham Sabach, Marc Teboulle, Yakov Vaisbourd
First Order Methods Beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems. SIAM J. Optim. 28 (3) (2018)
Dan Garber, Shoham Sabach, Atara Kaplan
Fast Generalized Conditional Gradient Method with Applications to Matrix Recovery Problems. CoRR (2018)
Amir Beck, Edouard Pauwels, Shoham Sabach
Primal and dual predicted decrease approximation methods. Math. Program. 167 (1) (2018)
Jérôme Bolte, Shoham Sabach, Marc Teboulle
Nonconvex Lagrangian-Based Optimization: Monitoring Schemes and Global Convergence. Math. Oper. Res. 43 (4) (2018)
Edouard Pauwels, Amir Beck, Yonina C. Eldar, Shoham Sabach
On Fienup Methods for Sparse Phase Retrieval. IEEE Trans. Signal Process. 66 (4) (2018)
Jérôme Bolte, Shoham Sabach, Marc Teboulle, Yakov Vaisbourd
First Order Methods beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems. CoRR (2017)
Edouard Pauwels, Amir Beck, Yonina C. Eldar, Shoham Sabach
On Fienup Methods for Regularized Phase Retrieval. CoRR (2017)
D. Russell Luke, Shoham Sabach, Marc Teboulle, Kobi Zatlawey
A simple globally convergent algorithm for the nonsmooth nonconvex single source localization problem. J. Glob. Optim. 69 (4) (2017)
Shoham Sabach, Shimrit Shtern
A First Order Method for Solving Convex Bilevel Optimization Problems. SIAM J. Optim. 27 (2) (2017)
Amir Beck, Shoham Sabach, Marc Teboulle
An Alternating Semiproximal Method for Nonconvex Regularized Structured Total Least Squares Problems. SIAM J. Matrix Anal. Appl. 37 (3) (2016)
Thomas Pock, Shoham Sabach
Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems. SIAM J. Imaging Sci. 9 (4) (2016)
Robert Hesse, D. Russell Luke, Shoham Sabach, Matthew K. Tam
Proximal Heterogeneous Block Implicit-Explicit Method and Application to Blind Ptychographic Diffraction Imaging. SIAM J. Imaging Sci. 8 (1) (2015)
Amir Beck, Shoham Sabach
Weiszfeld's Method: Old and New Results. J. Optim. Theory Appl. 164 (1) (2015)
Amir Beck, Edouard Pauwels, Shoham Sabach
The Cyclic Block Conditional Gradient Method for Convex Optimization Problems. SIAM J. Optim. 25 (4) (2015)
Yoel Drori, Shoham Sabach, Marc Teboulle
A simple algorithm for a class of nonsmooth convex-concave saddle-point problems. Oper. Res. Lett. 43 (2) (2015)
Amir Beck, Shoham Sabach
A first order method for finding minimal norm-like solutions of convex optimization problems. Math. Program. 147 (1-2) (2014)
Jérôme Bolte, Shoham Sabach, Marc Teboulle
Proximal alternating linearized minimization for nonconvex and nonsmooth problems. Math. Program. 146 (1-2) (2014)
Regina Sandra Burachik, C. Yalçin Kaya, Shoham Sabach
A Generalized Univariate Newton Method Motivated by Proximal Regularization. J. Optim. Theory Appl. 155 (3) (2012)
Amir Beck, Shoham Sabach
An improved ellipsoid method for solving convex differentiable optimization problems. Oper. Res. Lett. 40 (6) (2012)
Shoham Sabach
Products of Finitely Many Resolvents of Maximal Monotone Mappings in Reflexive Banach Spaces. SIAM J. Optim. 21 (4) (2011)
Gábor Kassay, Simeon Reich, Shoham Sabach
Iterative Methods for Solving Systems of Variational Inequalities in Reflexive Banach Spaces. SIAM J. Optim. 21 (4) (2011)