| 2022 | ICML | Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent. | Sharan Vaswani, Benjamin Dubois-Taine, Reza Babanezhad |
| 2022 | UAI | Towards painless policy optimization for constrained MDPs. | Arushi Jain, Sharan Vaswani, Reza Babanezhad, Csaba Szepesvari, Doina Precup |
| 2021 | AISTATS | An Analysis of the Adaptation Speed of Causal Models. | Rmi Le Priol, Reza Babanezhad, Yoshua Bengio, Simon Lacoste-Julien |
| 2021 | ICML | Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport. | Lewis Liu, Yufeng Zhang, Zhuoran Yang, Reza Babanezhad, Zhaoran Wang |
| 2018 | ICDE | A Generic Top-N Recommendation Framework for Trading-Off Accuracy, Novelty, and Coverage. | Zainab Zolaktaf, Reza Babanezhad, Rachel Pottinger |
| 2018 | ICLR | Online variance-reducing optimization. | Nicolas Le Roux, Reza Babanezhad, Pierre-Antoine Manzagol |
| 2016 | UAI | Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions. | Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, Masashi Sugiyama |
| 2015 | AISTATS | Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields. | Mark Schmidt, Reza Babanezhad, Mohamed Osama Ahmed, Aaron Defazio, Ann Clifton, Anoop Sarkar |
| 2010 | COMPSAC | Process Patterns for Web Engineering. | Reza Babanezhad, Yusef Mehrdad Bibalan, Raman Ramsin |