| 2025 | COLT | Blackwell's Approachability with Approximation Algorithms. | Dan Garber, Mhna Massalha |
| 2024 | ICML | Projection-Free Online Convex Optimization with Time-Varying Constraints. | Dan Garber, Ben Kretzu |
| 2023 | AISTATS | Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle. | Dan Garber, Tsur Livney, Shoham Sabach |
| 2023 | COLT | Projection-free Online Exp-concave Optimization. | Dan Garber, Ben Kretzu |
| 2022 | COLT | New Projection-free Algorithms for Online Convex Optimization with Adaptive Regret Guarantees. | Dan Garber, Ben Kretzu |
| 2021 | AISTATS | Revisiting Projection-free Online Learning: the Strongly Convex Case. | Ben Kretzu, Dan Garber |
| 2021 | COLT | Frank-Wolfe with a Nearest Extreme Point Oracle. | Dan Garber, Noam Wolf |
| 2020 | AISTATS | Improved Regret Bounds for Projection-free Bandit Convex Optimization. | Dan Garber, Ben Kretzu |
| 2020 | COLT | On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems. | Dan Garber |
| 2020 | ICML | Online Convex Optimization in the Random Order Model. | Dan Garber, Gal Korcia, Kfir Y. Levy |
| 2019 | AISTATS | Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity. | Dan Garber |
| 2019 | AISTATS | Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems. | Dan Garber, Atara Kaplan |
| 2019 | COLT | On the Regret Minimization of Nonconvex Online Gradient Ascent for Online PCA. | Dan Garber |
| 2018 | ALT | Efficient coordinate-wise leading eigenvector computation. | Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro |
| 2017 | ICML | Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis. | Dan Garber, Ohad Shamir, Nathan Srebro |
| 2016 | ICML | Faster Eigenvector Computation via Shift-and-Invert Preconditioning. | Dan Garber, Elad Hazan, Chi Jin, Sham M. Kakade, Cameron Musco, Praneeth Netrapalli, Aaron Sidford |
| 2015 | ICML | Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets. | Dan Garber, Elad Hazan |
| 2015 | ICML | Online Learning of Eigenvectors. | Dan Garber, Elad Hazan, Tengyu Ma |
| 2015 | SODA | Online Principal Components Analysis. | Christos Boutsidis, Dan Garber, Zohar Shay Karnin, Edo Liberty |
| 2013 | FOCS | Playing Non-linear Games with Linear Oracles. | Dan Garber, Elad Hazan |