| 2023 | AISTATS | Robust Linear Regression for General Feature Distribution. | Tom Norman, Nir Weinberger, Kfir Y. Levy |
| 2022 | ICML | UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees. | Kimon Antonakopoulos, Dong Quan Vu, Volkan Cevher, Kfir Y. Levy, Panayotis Mertikopoulos |
| 2021 | ICDM | LAGA: Lagged AllReduce with Gradient Accumulation for Minimal Idle Time. | Ido Hakimi, Rotem Zamir Aviv, Kfir Y. Levy, Assaf Schuster |
| 2021 | ICML | Fast Projection Onto Convex Smooth Constraints. | Ilnura Usmanova, Maryam Kamgarpour, Andreas Krause, Kfir Y. Levy |
| 2020 | ICML | Online Convex Optimization in the Random Order Model. | Dan Garber, Gal Korcia, Kfir Y. Levy |
| 2019 | AISTATS | Projection Free Online Learning over Smooth Sets. | Kfir Y. Levy, Andreas Krause |
| 2019 | COLT | A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise. | Francis R. Bach, Kfir Y. Levy |
| 2018 | COLT | Faster Rates for Convex-Concave Games. | Jacob D. Abernethy, Kevin A. Lai, Kfir Y. Levy, Jun-Kun Wang |
| 2018 | COLT | Online Variance Reduction for Stochastic Optimization. | Zalan Borsos, Andreas Krause, Kfir Y. Levy |
| 2018 | ICLR | An Online Learning Approach to Generative Adversarial Networks. | Paulina Grnarova, Kfir Y. Levy, Aurlien Lucchi, Thomas Hofmann, Andreas Krause |
| 2014 | COLT | Logistic Regression: Tight Bounds for Stochastic and Online Optimization. | Elad Hazan, Tomer Koren, Kfir Y. Levy |