Kfir Yehuda Levy

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Power Quality Disturbance

Policy Gradient

Convex Minimization

Top Venues

Tiny Papers @ ICLR

IEEE Trans. Ind. Informatics

Publications

Navdeep Kumar, Kaixin Wang, Utkarsh Pratiush, Kfir Yehuda Levy, Shie Mannor
Policy Gradient for Reinforcement Learning with General Utilities. Tiny Papers @ ICLR (2024)
Navdeep Kumar, Kaixin Wang, Uri Gadot, Kfir Yehuda Levy, Shie Mannor
Learning the Uncertainty Set in Robust Markov Decision Process. Tiny Papers @ ICLR (2024)
Navdeep Kumar, Ilnura Usmanova, Kfir Yehuda Levy, Shie Mannor
Towards Faster Global Convergence of Robust Policy Gradient Methods. Tiny Papers @ ICLR (2024)
Navdeep Kumar, Priyank Agrawal, Kfir Yehuda Levy, Shie Mannor
Policy Gradient with Tree Search (PGTS) in Reinforcement Learning Evades Local Maxima. Tiny Papers @ ICLR (2024)
Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Yehuda Levy
DoCoFL: Downlink Compression for Cross-Device Federated Learning. ICML (2023)
Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Yehuda Levy, Daniel Soudry
DropCompute: simple and more robust distributed synchronous training via compute variance reduction. CoRR (2023)
Ali Kavis, Kfir Yehuda Levy, Volkan Cevher
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize. CoRR (2022)
Ali Kavis, Kfir Yehuda Levy, Volkan Cevher
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize. ICLR (2022)
Ron Dorfman, Kfir Yehuda Levy
Adapting to Mixing Time in Stochastic Optimization with Markovian Data. ICML (2022)
Ram Machlev, Michael Perl, Juri Belikov, Kfir Yehuda Levy, Yoash Levron
Measuring Explainability and Trustworthiness of Power Quality Disturbances Classifiers Using XAI - Explainable Artificial Intelligence. IEEE Trans. Ind. Informatics 18 (8) (2022)
Rotem Zamir Aviv, Ido Hakimi, Assaf Schuster, Kfir Yehuda Levy
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge. ICML (2021)
Zalán Borsos, Sebastian Curi, Kfir Yehuda Levy, Andreas Krause
Online Variance Reduction with Mixtures. ICML (2019)
Kfir Yehuda Levy, Alp Yurtsever, Volkan Cevher
Online Adaptive Methods, Universality and Acceleration. NeurIPS (2018)
An Bian, Kfir Yehuda Levy, Andreas Krause, Joachim M. Buhmann
Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms. NIPS (2017)
Elad Hazan, Kfir Yehuda Levy, Shai Shalev-Shwartz
On Graduated Optimization for Stochastic Non-Convex Problems. ICML (2016)