Shalev-Shwartz, Shai
- Jamba: A Hybrid Transformer-Mamba Language Model
2024/03/28 by Opher Lieber, Barak Lenz, Lieber, Opher +42 · 4 voices · 54 citations
Arts and Humanities · Social Sciences · #Language, Discourse, Communication Strategies #Multilingual Education and Policy
- Proving the Lottery Ticket Hypothesis: Pruning is All You Need
2020/02/03 by Eran Malach, Malach, Eran, Gilad Yehudai +5 · 2 voices · 18 citations
#cs.LG #stat.ML
- Failures of Gradient-Based Deep Learning
2017/03/23 by Shai Shalev-Shwartz, Shalev-Shwartz, Shai, Ohad Shamir +3 · 1 voice · 8 citations
#cs.LG #cs.NE #stat.ML
- Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
2016/10/11 by Shai Shalev‐Shwartz, Shalev-Shwartz, Shai, Shaked Shammah +3 · 24 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Transportation and Mobility Innovations
- MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning
2022/05/01 by Ehud Karpas, Karpas, Ehud, Omri Abend +31 · 24 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #AI-based Problem Solving and Planning
- Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
2012/09/10 by Shalev-Shwartz, Shai, Zhang, Tong · 9 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- On a Formal Model of Safe and Scalable Self-driving Cars
2017/08/21 by Shalev-Shwartz, Shai, Shammah, Shaked, Shashua, Amnon · 9 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Robotics (cs.RO)
- Beyond Convexity: Stochastic Quasi-Convex Optimization
2015/07/08 by Elad Hazan, Hazan, Elad, Kfir Y. Levy +3 · 8 citations
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #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
- Optimal Learners for Multiclass Problems
2014/05/10 by Daniely, Amit, Shalev-Shwartz, Shai · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Decoupling "when to update" from "how to update"
2017/06/08 by Eran Malach, Malach, Eran, Shai Shalev‐Shwartz +1 · 6 citations
Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Large-Scale Convex Minimization with a Low-Rank Constraint
2011/06/08 by Shai Shalev‐Shwartz, Shalev-Shwartz, Shai, Alon Gonen +3 · 7 citations
Engineering · #Sparse and Compressive Sensing Techniques #Indoor and Outdoor Localization Technologies #Advanced Adaptive Filtering Techniques
- SenseBERT: Driving Some Sense into BERT
2019/08/15 by Levine, Yoav, Lenz, Barak, Dagan, Or +6 · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Strongly Adaptive Online Learning
2015/02/25 by Daniely, Amit, Gonen, Alon, Shalev-Shwartz, Shai · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Discriminative Active Learning
2019/07/15 by Gissin, Daniel, Shalev-Shwartz, Shai · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- From average case complexity to improper learning complexity
2013/11/10 by Daniely, Amit, Linial, Nati, Shalev-Shwartz, Shai · 2 citations
#Computational Complexity (cs.CC) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- On the Computational Efficiency of Training Neural Networks
2014/10/05 by Livni, Roi, Shalev-Shwartz, Shai, Shamir, Ohad · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- On Graduated Optimization for Stochastic Non-Convex Problems
2015/03/12 by Elad Hazan, Hazan, Elad, Kfir Y. Levy +3 · 2 citations
Computer Science · Engineering · Mathematics · #68 #Advanced Optimization Algorithms Research #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
- The Implicit Bias of Depth: How Incremental Learning Drives Generalization
2019/09/26 by Gissin, Daniel, Shalev-Shwartz, Shai, Daniely, Amit · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Computational Separation Between Convolutional and Fully-Connected Networks
2020/10/03 by Eran Malach, Shai Shalev‐Shwartz, Malach, Eran +1 · 3 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques
- Regularization Techniques for Learning with Matrices
2009/10/04 by Sham M. Kakade, Shai Shalev‐Shwartz, Kakade, Sham M. +3 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
- Efficient Learning with Partially Observed Attributes
2010/04/26 by Cesa-Bianchi, Nicolò, Shalev-Shwartz, Shai, Shamir, Ohad · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Accelerated Mini-Batch Stochastic Dual Coordinate Ascent
2013/05/12 by Shalev-Shwartz, Shai, Zhang, Tong · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization
2013/09/10 by Shalev-Shwartz, Shai, Zhang, Tong · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
- Subspace Learning with Partial Information
2014/02/19 by Gonen, Alon, Rosenbaum, Dan, Eldar, Yonina +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Faster SGD Using Sketched Conditioning
2015/06/08 by Gonen, Alon, Shalev-Shwartz, Shai · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
- Average Stability is Invariant to Data Preconditioning. Implications to Exp-concave Empirical Risk Minimization
2016/01/15 by Gonen, Alon, Shalev-Shwartz, Shai · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Minimizing the Maximal Loss: How and Why?
2016/02/04 by Shai Shalev‐Shwartz, Yonatan Wexler, Shalev-Shwartz, Shai +1 · 1 citation
Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Near-Optimal Algorithms for Online Matrix Prediction
2012/03/31 by Elad Hazan, Hazan, Elad, Satyen Kale +3 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Complexity and Algorithms in Graphs #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Optimization and Search Problems
- Decoupling Gating from Linearity
2019/06/12 by Fiat, Jonathan, Malach, Eran, Shalev-Shwartz, Shai · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Standing on the Shoulders of Giant Frozen Language Models
2022/04/21 by Levine, Yoav, Dalmedigos, Itay, Ram, Ori +10 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Less is More: Selective Layer Finetuning with SubTuning
2023/02/13 by Gal Kaplun, Andrey Gurevich, Kaplun, Gal +9 · 1 citation
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- From Reasoning to Super-Intelligence: A Search-Theoretic Perspective
2025/07/13 by Shai Shalev‐Shwartz, Amnon Shashua, Shalev-Shwartz, Shai +1 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #FOS: Computer and information sciences