World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
28813
World Ranking
2394
National Ranking
45

Overview

Shai Shalev-Shwartz is affiliated with the Hebrew University of Jerusalem in Israel and has a research focus primarily within the field of Computer Science. Their work spans several subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Safety Research, Health Informatics, and Control and Systems Engineering.

The researcher's main topics of investigation cover areas such as Machine Learning and Algorithms, Neural Networks and Applications, Domain Adaptation and Few-Shot Learning, Ethics and Social Impacts of AI, Adversarial Robustness in Machine Learning, Stochastic Gradient Optimization Techniques, and Natural Language Processing Techniques.

Frequent coauthors with whom Shalev-Shwartz has collaborated include:

  • Eran Malach
  • Amnon Shashua
  • Yoav Levine
  • Gilad Yehudai
  • Ohad Shamir

Their publications are mainly found in venues such as arXiv (Cornell University), where they have contributed 16 papers, and Science, with at least one publication.

Selected recent papers by Shai Shalev-Shwartz include:

  • "Managing extreme AI risks amid rapid progress," 2024, Science
  • "Proving the Lottery Ticket Hypothesis: Pruning is All You Need," 2020, arXiv (Cornell University)
  • "MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning," 2022, arXiv (Cornell University)
  • "Jamba: A Hybrid Transformer-Mamba Language Model," 2024, arXiv (Cornell University)
  • "Managing extreme AI risks amid rapid progress," 2023, arXiv (Cornell University)

Best Publications

  • Understanding Machine Learning: From Theory To Algorithms

    Shai Shalev-Shwartz;Shai Ben-David

  • Pegasos: primal estimated sub-gradient solver for SVM

    Shai Shalev-Shwartz;Yoram Singer;Nathan Srebro;Andrew Cotter

  • Online Passive-Aggressive Algorithms

    Koby Crammer;Koby Crammer;Ofer Dekel;Joseph Keshet;Shai Shalev-Shwartz

  • Online Learning and Online Convex Optimization

    Shai Shalev-Shwartz

  • Efficient projections onto the l1-ball for learning in high dimensions

    John Duchi;Shai Shalev-Shwartz;Yoram Singer;Tushar Chandra

  • Pegasos: Primal Estimated sub-GrAdient SOlver for SVM

    Shai Shalev-Shwartz;Yoram Singer;Nathan Srebro

  • Stochastic dual coordinate ascent methods for regularized loss

    Shai Shalev-Shwartz;Tong Zhang

  • On a Formal Model of Safe and Scalable Self-driving Cars

    Shai Shalev-Shwartz;Shaked Shammah;Amnon Shashua

  • Stochastic methods for l1 regularized loss minimization

    Shai Shalev-Shwartz;Ambuj Tewari

  • Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization

    Shai Shalev-Shwartz;Tong Zhang

  • Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

    Shai Shalev-Shwartz;Shaked Shammah;Amnon Shashua

  • Decoupling "when to update" from "how to update"

    Eran Malach;Shai Shalev-Shwartz

  • Online and batch learning of pseudo-metrics

    Shai Shalev-Shwartz;Yoram Singer;Andrew Y. Ng

  • Learnability, Stability and Uniform Convergence

    Shai Shalev-Shwartz;Ohad Shamir;Nathan Srebro;Karthik Sridharan

  • Composite objective mirror descent

    John C. Duchi;Shai Shalev-Shwartz;Yoram Singer;Ambuj Tewari

  • SVM optimization: inverse dependence on training set size

    Shai Shalev-Shwartz;Nathan Srebro

  • Online Learning: Theory, Algorithms, and Applications

    Shai Shalev-Shwartz

  • Stochastic Convex Optimization.

    Shai Shalev-Shwartz;Ohad Shamir;Nathan Srebro;Karthik Sridharan

  • On the Computational Efficiency of Training Neural Networks

    Roi Livni;Shai Shalev-Shwartz;Ohad Shamir

  • Stochastic Methods for l 1 -regularized Loss Minimization

    Shai Shalev-Shwartz;Ambuj Tewari

  • Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization

    Shai Shalev-Shwartz;Tong Zhang

Frequent Co-Authors

Amnon Shashua
Amnon Shashua Hebrew University of Jerusalem
Ohad Shamir
Ohad Shamir Weizmann Institute of Science
Yoram Singer
Yoram Singer Princeton University
Shai Ben-David
Shai Ben-David University of Waterloo
Nathan Srebro
Nathan Srebro Toyota Technological Institute at Chicago
Tong Zhang
Tong Zhang University of Illinois at Urbana-Champaign
Karthik Sridharan
Karthik Sridharan Cornell University
Ambuj Tewari
Ambuj Tewari University of Michigan–Ann Arbor
Ofer Dekel
Ofer Dekel Microsoft (United States)
Nicolò Cesa-Bianchi
Nicolò Cesa-Bianchi University of Milan

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