Levy, Kfir

14 publications

AAAI 2024 Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor

NeurIPSW 2023 Targeted Uncertainty Reduction in Robust MDPs Uri Gadot, Kaixin Wang, Esther Derman, Navdeep Kumar, Kfir Levy, Shie Mannor

ICML 2022 UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees Kimon Antonakopoulos, Dong Quan Vu, Volkan Cevher, Kfir Levy, Panayotis Mertikopoulos

ICML 2021 Fast Projection onto Convex Smooth Constraints Ilnura Usmanova, Maryam Kamgarpour, Andreas Krause, Kfir Levy

NeurIPS 2021 Faster Neural Network Training with Approximate Tensor Operations Menachem Adelman, Kfir Levy, Ido Hakimi, Mark Silberstein

NeurIPS 2021 STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization Kfir Levy, Ali Kavis, Volkan Cevher

ICML 2020 Online Convex Optimization in the Random Order Model Dan Garber, Gal Korcia, Kfir Levy

AISTATS 2019 Projection Free Online Learning over Smooth Sets Kfir Levy, Andreas Krause

NeurIPS 2017 Continuous DR-Submodular Maximization: Structure and Algorithms An Bian, Kfir Levy, Andreas Krause, Joachim M Buhmann

NeurIPS 2017 Online to Offline Conversions, Universality and Adaptive Minibatch Sizes Kfir Levy

NeurIPS 2016 K*-Nearest Neighbors: From Global to Local Oren Anava, Kfir Levy

NeurIPS 2015 Beyond Convexity: Stochastic Quasi-Convex Optimization Elad Hazan, Kfir Levy, Shai Shalev-Shwartz

NeurIPS 2015 Fast Rates for Exp-Concave Empirical Risk Minimization Tomer Koren, Kfir Levy

NeurIPS 2014 Bandit Convex Optimization: Towards Tight Bounds Elad Hazan, Kfir Levy