| 2025 | AISTATS | Level Set Teleportation: An Optimization Perspective. | Aaron Mishkin, Alberto Bietti, Robert M. Gower |
| 2024 | ICLR | Improving Convergence and Generalization Using Parameter Symmetries. | Bo Zhao, Robert M. Gower, Robin Walters, Rose Yu |
| 2024 | ICML | Batch and match: black-box variational inference with a score-based divergence. | Diana Cai, Chirag Modi, Loucas Pillaud-Vivien, Charles Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul |
| 2024 | ICML | MoMo: Momentum Models for Adaptive Learning Rates. | Fabian Schaipp, Ruben Ohana, Michael Eickenberg, Aaron Defazio, Robert M. Gower |
| 2023 | ICLR | SP2 : A Second Order Stochastic Polyak Method. | Shuang Li, William J. Swartworth, Martin Takc, Deanna Needell, Robert M. Gower |
| 2023 | ICLR | Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies. | Rui Yuan, Simon Shaolei Du, Robert M. Gower, Alessandro Lazaric, Lin Xiao |
| 2023 | ICML | A Model-Based Method for Minimizing CVaR and Beyond. | Si Yi Meng, Robert M. Gower |
| 2022 | AISTATS | SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums. | Jiabin Chen, Rui Yuan, Guillaume Garrigos, Robert M. Gower |
| 2022 | AISTATS | A general sample complexity analysis of vanilla policy gradient. | Rui Yuan, Robert M. Gower, Alessandro Lazaric |
| 2021 | ACML | The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization. | Aaron Defazio, Robert M. Gower |
| 2021 | AISTATS | SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation. | Robert M. Gower, Othmane Sebbouh, Nicolas Loizou |
| 2021 | COLT | Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball. | Othmane Sebbouh, Robert M. Gower, Aaron Defazio |
| 2019 | ICML | Optimal Mini-Batch and Step Sizes for SAGA. | Nidham Gazagnadou, Robert M. Gower, Joseph Salmon |
| 2019 | ICML | SGD with Arbitrary Sampling: General Analysis and Improved Rates. | Xun Qian, Peter Richtrik, Robert M. Gower, Alibek Sailanbayev, Nicolas Loizou, Egor Shulgin |
| 2018 | AISTATS | Stochastic algorithms for entropy-regularized optimal transport problems. | Brahim Khalil Abid, Robert M. Gower |
| 2018 | AISTATS | Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods. | Robert M. Gower, Nicolas Le Roux, Francis R. Bach |
| 2016 | ICML | Stochastic Block BFGS: Squeezing More Curvature out of Data. | Robert M. Gower, Donald Goldfarb, Peter Richtrik |