Shoham Sabach - RankMe

72 papers A* 9A 2Journal 59Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	$$\texttt{C2-DPO}$$: Constrained Controlled Direct Preference Optimization. Trans. Mach. Learn. Res. Kavosh Asadi, Xingzi Xu, Julien Han, Ege Beyazit, Idan Pipano, Dominique Perrault-Joncas, Shoham Sabach, Mohammad Ghavamzadeh, Karim Bouyarmane
2026	J	`jnl`	Direct Preference Optimization with Rating Information: Practical Algorithms and Provable Gains. CoRR Luca Viano, Ruida Zhou, Yifan Sun, Mahdi Namazifar, Volkan Cevher, Shoham Sabach, Mohammad Ghavamzadeh
2026	J	`jnl`	Displacement-Resistant Extensions of DPO with Nonconvex CoRR Idan Pipano, Shoham Sabach, Kavosh Asadi, Mohammad Ghavamzadeh
2025	J	`jnl`	A Proximal Operator for Inducing 2:4-Sparsity. CoRR Jonas M. Kübler, Yu-Xiang Wang, Shoham Sabach, Navid Ansari, Matthäus Kleindessner, Kailash Budhathoki, Volkan Cevher, George Karypis
2025	J	`jnl`	A Proximal Operator for Inducing 2:4-Sparsity. Trans. Mach. Learn. Res. Jonas M. Kübler, Yu-Xiang Wang, Shoham Sabach, Navid Ansari, Matthäus Kleindessner, Kailash Budhathoki, Volkan Cevher, George Karypis
2025	J	`jnl`	A dual-based first-order algorithm for ToA asynchronous localization and synchronization. Signal Process. Eyal Gur, Alon Amar, Shoham Sabach
2025	J	`jnl`	C-3DPO: Constrained Controlled Classification for Direct Preference Optimization. CoRR Kavosh Asadi, Julien Han, Xingzi Xu, Dominique Perrault-Joncas, Shoham Sabach, Karim Bouyarmane, Mohammad Ghavamzadeh
2025	A*	`conf`	Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method. ICML Kiran Koshy Thekumparampil, Gaurush Hiranandani, Kousha Kalantari, Shoham Sabach, Branislav Kveton
2025	J	`jnl`	Directional-Clamp PPO. CoRR Gilad Karpel, Ruida Zhou, Shoham Sabach, Mohammad Ghavamzadeh
2025	J	`jnl`	Fast and Convergent Method for Large-Scale Sensor Network Localization With Anchor Uncertainty. ACM Trans. Sens. Networks Eyal Gur, Shoham Sabach
2025	A*	`conf`	FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain. ICML Rohan Deb, Kiran Koshy Thekumparampil, Kousha Kalantari, Gaurush Hiranandani, Shoham Sabach, Branislav Kveton
2025	J	`jnl`	FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain. CoRR Rohan Deb, Kiran Koshy Thekumparampil, Kousha Kalantari, Gaurush Hiranandani, Shoham Sabach, Branislav Kveton
2025	—	`conf`	MoXCo: How I learned to stop exploring and love my local minima? CPAL Esha Singh, Shoham Sabach, Yu-Xiang Wang
2025	J	`jnl`	Network Localization and Multi-Dimensional Scaling: Escaping Saddles and a Local Optimality Condition. Open J. Math. Optim. Eyal Gur, Shoham Sabach
2025	J	`jnl`	ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs. CoRR Hongyi Liu, Rajarshi Saha, Zhen Jia, Youngsuk Park, Jiaji Huang, Shoham Sabach, Yu-Xiang Wang, George Karypis
2025	A*	`conf`	Proxsparse: Regularized Learning of Semi-Structured Sparsity masks for Pretrained LLMS. ICML Hongyi Liu, Rajarshi Saha, Zhen Jia, Youngsuk Park, Jiaji Huang, Shoham Sabach, Yu-Xiang Wang, George Karypis
2025	J	`jnl`	νSAM: Memory-Efficient Sharpness-Aware Minimization via Nuclear Norm Constraints. Trans. Mach. Learn. Res. Thomas Pethick, Parameswaran Raman, Lenon Minorics, Mingyi Hong, Shoham Sabach, Volkan Cevher
2024	J	`jnl`	A Globally Convergent Inertial First-Order Optimization Method for Multidimensional Scaling. J. Optim. Theory Appl. Noga Ram, Shoham Sabach
2024	J	`jnl`	A semi-Bregman proximal alternating method for a class of nonconvex problems: local and global convergence analysis. J. Glob. Optim. Eyal Cohen, D. Russell Luke, Titus Pinta, Shoham Sabach, Marc Teboulle
2024	J	`jnl`	Comparing Few to Rank Many: Active Human Preference Learning using Randomized Frank-Wolfe. CoRR Kiran Koshy Thekumparampil, Gaurush Hiranandani, Kousha Kalantari, Shoham Sabach, Branislav Kveton
2024	A	`conf`	Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. AISTATS Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
2024	J	`jnl`	Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. CoRR Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
2024	A*	`conf`	Learning the Target Network in Function Space. ICML Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor
2024	J	`jnl`	Learning the Target Network in Function Space. CoRR Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor
2024	A*	`conf`	MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent. ICML Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
2024	J	`jnl`	MADA: Meta-Adaptive Optimizers through hyper-gradient Descent. CoRR Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
2024	A*	`conf`	TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. ICLR Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
2023	J	`jnl`	Convergent Nested Alternating Minimization Algorithms for Nonconvex Optimization Problems. Math. Oper. Res. Eyal Gur, Shoham Sabach, Shimrit Shtern
2023	J	`jnl`	Convex Bi-Level Optimization Problems with Non-smooth Outer Objective Function. CoRR Roey Merchav, Shoham Sabach
2023	J	`jnl`	Convex Bi-level Optimization Problems with Nonsmooth Outer Objective Function. SIAM J. Optim. Roey Merchav, Shoham Sabach
2023	J	`jnl`	Direct, fast and convergent solvers for the non-convex and non-smooth TDoA localization problem. Digit. Signal Process. Eyal Gur, Alon Amar, Shoham Sabach
2023	A	`conf`	Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle. AISTATS Dan Garber, Tsur Livney, Shoham Sabach
2023	J	`jnl`	Nested Alternating Minimization with FISTA for Non-convex and Non-smooth Optimization Problems. J. Optim. Theory Appl. Eyal Gur, Shoham Sabach, Shimrit Shtern
2023	A*	`conf`	Resetting the Optimizer in Deep RL: An Empirical Study. NeurIPS Kavosh Asadi, Rasool Fakoor, Shoham Sabach
2023	J	`jnl`	Resetting the Optimizer in Deep RL: An Empirical Study. CoRR Kavosh Asadi, Rasool Fakoor, Shoham Sabach
2023	J	`jnl`	TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. CoRR Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
2023	A*	`conf`	TD Convergence: An Optimization Perspective. NeurIPS Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor
2023	J	`jnl`	TD Convergence: An Optimization Perspective. CoRR Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor
2022	J	`jnl`	Faster Lagrangian-Based Methods in Convex Optimization. SIAM J. Optim. Shoham Sabach, Marc Teboulle
2022	J	`jnl`	Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle. CoRR Dan Garber, Tsur Livney, Shoham Sabach
2022	A*	`conf`	From Cluster Ranking to Document Ranking. SIGIR Egor Markovskiy, Fiana Raiber, Shoham Sabach, Oren Kurland
2021	J	`jnl`	Improved complexities of conditional gradient-type methods with applications to robust matrix recovery problems. Math. Program. Dan Garber, Atara Kaplan, Shoham Sabach
2020	J	`jnl`	Alternating Minimization Based First-Order Method for the Wireless Sensor Network Localization Problem. CoRR Eyal Gur, Shoham Sabach, Shimrit Shtern
2020	J	`jnl`	Alternating Minimization Based First-Order Method for the Wireless Sensor Network Localization Problem. IEEE Trans. Signal Process. Eyal Gur, Shoham Sabach, Shimrit Shtern
2020	J	`jnl`	Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization. SIAM J. Math. Data Sci. Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach
2020	J	`jnl`	Faster Lagrangian-Based Methods in Convex Optimization. CoRR Shoham Sabach, Marc Teboulle
2020	J	`jnl`	Non-Convex Split Feasibility Problems: Models, Algorithms and Theory. Open J. Math. Optim. Aviv Gibali, Shoham Sabach, Sergey Voldman
2020	J	`jnl`	Stochastic proximal linear method for structured non-convex problems. Optim. Methods Softw. Tamir Hazan, Shoham Sabach, Sergey Voldman
2019	J	`jnl`	Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization. CoRR Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach
2019	J	`jnl`	Optimization on Spheres: Models and Proximal Algorithms with Computational Performance Comparisons. SIAM J. Math. Data Sci. D. Russell Luke, Shoham Sabach, Marc Teboulle
2018	J	`jnl`	Fast Generalized Conditional Gradient Method with Applications to Matrix Recovery Problems. CoRR Dan Garber, Shoham Sabach, Atara Kaplan
2018	J	`jnl`	First Order Methods Beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems. SIAM J. Optim. Jérôme Bolte, Shoham Sabach, Marc Teboulle, Yakov Vaisbourd
2018	J	`jnl`	Nonconvex Lagrangian-Based Optimization: Monitoring Schemes and Global Convergence. Math. Oper. Res. Jérôme Bolte, Shoham Sabach, Marc Teboulle
2018	J	`jnl`	On Fienup Methods for Sparse Phase Retrieval. IEEE Trans. Signal Process. Edouard Pauwels, Amir Beck, Yonina C. Eldar, Shoham Sabach
2018	J	`jnl`	Primal and dual predicted decrease approximation methods. Math. Program. Amir Beck, Edouard Pauwels, Shoham Sabach
2017	J	`jnl`	A First Order Method for Solving Convex Bilevel Optimization Problems. SIAM J. Optim. Shoham Sabach, Shimrit Shtern
2017	J	`jnl`	A simple globally convergent algorithm for the nonsmooth nonconvex single source localization problem. J. Glob. Optim. D. Russell Luke, Shoham Sabach, Marc Teboulle, Kobi Zatlawey
2017	J	`jnl`	First Order Methods beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems. CoRR Jérôme Bolte, Shoham Sabach, Marc Teboulle, Yakov Vaisbourd
2017	J	`jnl`	On Fienup Methods for Regularized Phase Retrieval. CoRR Edouard Pauwels, Amir Beck, Yonina C. Eldar, Shoham Sabach
2016	J	`jnl`	An Alternating Semiproximal Method for Nonconvex Regularized Structured Total Least Squares Problems. SIAM J. Matrix Anal. Appl. Amir Beck, Shoham Sabach, Marc Teboulle
2016	J	`jnl`	Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems. SIAM J. Imaging Sci. Thomas Pock, Shoham Sabach
2015	J	`jnl`	A simple algorithm for a class of nonsmooth convex-concave saddle-point problems. Oper. Res. Lett. Yoel Drori, Shoham Sabach, Marc Teboulle
2015	J	`jnl`	Proximal Heterogeneous Block Implicit-Explicit Method and Application to Blind Ptychographic Diffraction Imaging. SIAM J. Imaging Sci. Robert Hesse, D. Russell Luke, Shoham Sabach, Matthew K. Tam
2015	J	`jnl`	The Cyclic Block Conditional Gradient Method for Convex Optimization Problems. SIAM J. Optim. Amir Beck, Edouard Pauwels, Shoham Sabach
2015	J	`jnl`	Weiszfeld's Method: Old and New Results. J. Optim. Theory Appl. Amir Beck, Shoham Sabach
2014	J	`jnl`	A first order method for finding minimal norm-like solutions of convex optimization problems. Math. Program. Amir Beck, Shoham Sabach
2014	J	`jnl`	Proximal alternating linearized minimization for nonconvex and nonsmooth problems. Math. Program. Jérôme Bolte, Shoham Sabach, Marc Teboulle
2012	J	`jnl`	A Generalized Univariate Newton Method Motivated by Proximal Regularization. J. Optim. Theory Appl. Regina Sandra Burachik, C. Yalçin Kaya, Shoham Sabach
2012	J	`jnl`	An improved ellipsoid method for solving convex differentiable optimization problems. Oper. Res. Lett. Amir Beck, Shoham Sabach
2011	—	`ch.`	Existence and Approximation of Fixed Points of Bregman Firmly Nonexpansive Mappings in Reflexive Banach Spaces. Fixed-Point Algorithms for Inverse Problems in Science and Engineering Simeon Reich, Shoham Sabach
2011	J	`jnl`	Iterative Methods for Solving Systems of Variational Inequalities in Reflexive Banach Spaces. SIAM J. Optim. Gábor Kassay, Simeon Reich, Shoham Sabach
2011	J	`jnl`	Products of Finitely Many Resolvents of Maximal Monotone Mappings in Reflexive Banach Spaces. SIAM J. Optim. Shoham Sabach