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Kfir Yehuda Levy

Technion, Haifa, Faculty of Industrial Engineering and Management

24 papers at tracked venues · 23 at CORE A* · active 2024–2025

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Venues

ICML ×9NeurIPS ×7ICLR ×6AAAI ×1AISTATS ×1

Frequent coauthors

Navdeep Kumar
×10
Shie Mannor
×10
Tehila Dahan
×4
Kaixin Wang
×4
Ron Dorfman
×3
Uri Gadot
×3
Bassel Hamoud
×2
Maxence Mohamed Elfatihi
×2
Giorgia Ramponi
×2
Priyank Agrawal
×2
Roie Reshef
×2
Ilnura Usmanova
×2

Papers

  1. Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning
    ICML 2025 ·
    Ze'ev Zukerman
    ,
    Bassel Hamoud
    , Kfir Yehuda Levy
  2. Convergence of Clipped SGD on Convex (L0, L1)-Smooth Functions
    NeurIPS 2025 ·
    Ofir Gaash
    , Kfir Y. Levy,
    Yair Carmon
  3. Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism
    ICLR 2025 ·
    Tehila Dahan
    , Kfir Yehuda Levy
  4. Enhancing Parallelism in Decentralized Stochastic Convex Optimization
    ICML 2025 ·
    Ofri Eisen
    ,
    Ron Dorfman
    , Kfir Yehuda Levy
  5. Global Convergence of Policy Gradient in Average Reward MDPs
    ICLR 2025 ·
    Navdeep Kumar
    ,
    Yashaswini Murthy
    ,
    Itai Shufaro
    , Kfir Yehuda Levy,
    R. Srikant
    ,
    Shie Mannor
  6. Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness
    NeurIPS 2025 ·
    Yuheng Zhao
    ,
    Yu-Hu Yan
    , Kfir Y. Levy,
    Peng Zhao
  7. Non-rectangular Robust MDPs with Normed Uncertainty Sets
    NeurIPS 2025 ·
    Navdeep Kumar
    ,
    Adarsh Gupta
    ,
    Maxence Mohamed Elfatihi
    ,
    Giorgia Ramponi
    , Kfir Y. Levy,
    Shie Mannor
  8. On the Convergence of Single-Timescale Actor-Critic
    NeurIPS 2025 ·
    Navdeep Kumar
    ,
    Priyank Agrawal
    ,
    Giorgia Ramponi
    , Kfir Y. Levy,
    Shie Mannor
  9. Prediction-Powered Semi-Supervised Learning with Online Power Tuning
    NeurIPS 2025 ·
    Noa Shoham
    ,
    Ron Dorfman
    ,
    Shalev Shaer
    , Kfir Y. Levy,
    Yaniv Romano
  10. Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation
    ICML 2025 ·
    Roie Reshef
    , Kfir Yehuda Levy
  11. Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints
    AISTATS 2025 ·
    Bassel Hamoud
    ,
    Ilnura Usmanova
    , Kfir Yehuda Levy
  12. A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle
    ICML 2024 ·
    Nadav Hallak
    , Kfir Yehuda Levy
  13. Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel
    ICML 2024 ·
    Uri Gadot
    ,
    Kaixin Wang
    ,
    Navdeep Kumar
    , Kfir Yehuda Levy,
    Shie Mannor
  14. Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
    ICML 2024 ·
    Ron Dorfman
    ,
    Naseem Yehya
    , Kfir Yehuda Levy
  15. Efficient Value Iteration for s-rectangular Robust Markov Decision Processes
    ICML 2024 ·
    Navdeep Kumar
    ,
    Kaixin Wang
    , Kfir Yehuda Levy,
    Shie Mannor
  16. Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training
    ICML 2024 ·
    Tehila Dahan
    , Kfir Yehuda Levy
  17. Learning the Uncertainty Set in Robust Markov Decision Process
    ICLR 2024 ·
    Navdeep Kumar
    ,
    Kaixin Wang
    ,
    Uri Gadot
    , Kfir Yehuda Levy,
    Shie Mannor
  18. Policy Gradient for Reinforcement Learning with General Utilities
    ICLR 2024 ·
    Navdeep Kumar
    ,
    Kaixin Wang
    ,
    Utkarsh Pratiush
    , Kfir Yehuda Levy,
    Shie Mannor
  19. Policy Gradient with Tree Search (PGTS) in Reinforcement Learning Evades Local Maxima
    ICLR 2024 ·
    Navdeep Kumar
    ,
    Priyank Agrawal
    , Kfir Yehuda Levy,
    Shie Mannor
  20. Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems
    ICML 2024 ·
    Roie Reshef
    , Kfir Yehuda Levy
  21. SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
    NeurIPS 2024 ·
    Tehila Dahan
    , Kfir Y. Levy
  22. Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization
    AAAI 2024 ·
    Uri Gadot
    ,
    Esther Derman
    ,
    Navdeep Kumar
    ,
    Maxence Mohamed Elfatihi
    , Kfir Levy,
    Shie Mannor
  23. Towards Faster Global Convergence of Robust Policy Gradient Methods
    ICLR 2024 ·
    Navdeep Kumar
    ,
    Ilnura Usmanova
    , Kfir Yehuda Levy,
    Shie Mannor
  24. Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
    NeurIPS 2024 ·
    Tehila Dahan
    , Kfir Y. Levy