Levy, Kfir Y.

16 publications

NeurIPS 2024 SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization Tehila Dahan, Kfir Y. Levy

NeurIPS 2024 Weight for Robustness: A Comprehensive Approach Towards Optimal Fault-Tolerant Asynchronous ML Tehila Dahan, Kfir Y. Levy

NeurIPS 2023 DropCompute: Simple and More Robust Distributed Synchronous Training via Compute Variance Reduction Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Y. Levy, Daniel Soudry

NeurIPS 2023 Meta-Learning Adversarial Bandit Algorithms Misha Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina F Balcan, Kfir Y. Levy, Ron Meir, Steven Z. Wu

NeurIPS 2023 Policy Gradient for Rectangular Robust Markov Decision Processes Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor

AISTATS 2023 Robust Linear Regression for General Feature Distribution Tom Norman, Nir Weinberger, Kfir Y. Levy

NeurIPS 2020 Adaptive Sampling for Stochastic Risk-Averse Learning Sebastian Curi, Kfir Y. Levy, Stefanie Jegelka, Andreas Krause

JMLR 2020 Multi-Player Bandits: The Adversarial Case Pragnya Alatur, Kfir Y. Levy, Andreas Krause

NeurIPS 2019 A Domain Agnostic Measure for Monitoring and Evaluating GANs Paulina Grnarova, Kfir Y. Levy, Aurelien Lucchi, Nathanael Perraudin, Ian Goodfellow, Thomas Hofmann, Andreas Krause

COLT 2019 A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise Francis Bach, Kfir Y Levy

NeurIPS 2019 UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization Ali Kavis, Kfir Y. Levy, Francis Bach, Volkan Cevher

ICLR 2018 An Online Learning Approach to Generative Adversarial Networks Paulina Grnarova, Kfir Y Levy, Aurelien Lucchi, Thomas Hofmann, Andreas Krause

COLT 2018 Faster Rates for Convex-Concave Games Jacob D. Abernethy, Kevin A. Lai, Kfir Y. Levy, Jun-Kun Wang

NeurIPS 2018 Online Adaptive Methods, Universality and Acceleration Kfir Y. Levy, Alp Yurtsever, Volkan Cevher

COLT 2018 Online Variance Reduction for Stochastic Optimization Zalan Borsos, Andreas Krause, Kfir Y. Levy

COLT 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization Elad Hazan, Tomer Koren, Kfir Y. Levy