Sabach, Shoham
- A First Order Method for Solving Convex Bi-Level Optimization Problems
2017/02/13 by Sabach, Shoham, Shtern, Shimrit · 30 citations
#FOS: Mathematics #Optimization and Control (math.OC)
- First Order Methods beyond Convexity and Lipschitz Gradient Continuity\n with Applications to Quadratic Inverse Problems
2017/06/20 by Jérôme Bolte, Shoham Sabach, Bolte, Jérôme +5 · 16 citations
Computer Science · Engineering · Mathematics · #FOS: Mathematics #Numerical Analysis (math.NA) #Numerical methods in inverse problems #Optimization and Control (math.OC) #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques
- TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
2023/10/09 by Zuxin Liu, Liu, Zuxin, Jesse Zhang +11 · 12 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Topic Modeling
- The Cyclic Block Conditional Gradient Method for Convex Optimization Problems
2015/02/12 by Beck, Amir, Pauwels, Edouard, Sabach, Shoham · 4 citations
#FOS: Mathematics #Optimization and Control (math.OC)
- Convex Bi-Level Optimization Problems with Non-smooth Outer Objective Function
2023/07/17 by Roey Merchav, Merchav, Roey, Shoham Sabach +1 · 8 citations
Computer Science · Engineering · #65K10 #90C05 #90C25 #90C30 #90C52 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- TD Convergence: An Optimization Perspective
2023/06/30 by Kavosh Asadi, Shoham Sabach, Asadi, Kavosh +7 · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing
- Nonconvex Lagrangian-Based Optimization: Monitoring Schemes and Global\n Convergence
2018/01/09 by Jérôme Bolte, Shoham Sabach, Bolte, Jérôme +3 · 2 citations
Decision Sciences · Engineering · Mathematics · #49M37 #65K10 #90C30 #Advanced Bandit Algorithms Research #Advanced Optimization Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
- Convex-Concave Backtracking for Inertial Bregman Proximal Gradient\n Algorithms in Non-Convex Optimization
2019/04/06 by Mahesh Chandra Mukkamala, Mukkamala, Mahesh Chandra, Peter Ochs +5 · 2 citations
Computer Science · Engineering · Medicine · #26B25 #49M27 #52A41 #65K05 #90C25 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Optical Imaging and Spectroscopy Techniques #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Improved Complexities of Conditional Gradient-Type Methods with Applications to Robust Matrix Recovery Problems
2018/02/15 by Dan Garber, Garber, Dan, Shoham Sabach +3 · 5 citations
Computer Science · Engineering · #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Resetting the Optimizer in Deep RL: An Empirical Study
2023/06/30 by Kavosh Asadi, Rasool Fakoor, Asadi, Kavosh +3 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #Diffusion and Search Dynamics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing
- Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate
2024/01/05 by Ruichen Jiang, Jiang, Ruichen, Parameswaran Raman +9 · 2 citations
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs
2025/02/01 by Hongyi Liu, Rajarshi Saha, Liu, Hongyi +13 · 4 citations
Engineering · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG)
- FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
2025/05/20 by Kiran Koshy Thekumparampil, Deb, Rohan, Kousha Kalantari +8 · 5 citations
Computer Science · #Topic Modeling #Speech Recognition and Synthesis #Natural Language Processing Techniques
- MADA: Meta-Adaptive Optimizers through hyper-gradient Descent
2024/01/17 by Ozkara, Kaan, Karakus, Can, Raman, Parameswaran +4 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Comparing Few to Rank Many: Active Human Preference Learning using Randomized Frank-Wolfe
2024/12/27 by Kiran Koshy Thekumparampil, Gaurush Hiranandani, Thekumparampil, Kiran Koshy +7 · 2 citations
Computer Science · Decision Sciences · #Face and Expression Recognition #Multi-Criteria Decision Making #Text and Document Classification Technologies
- A Proximal Operator for Inducing 2:4-Sparsity
2025/01/29 by Jonas M. Kübler, Yu-Xiang Wang, Kübler, Jonas M +13 · 1 citation
Computer Science · Mathematics · #Approximation Theory and Sequence Spaces #FOS: Computer and information sciences #Machine Learning (cs.LG) #Matrix Theory and Algorithms