| 2024 | ICML | An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization. | Emre Sahinoglu, Shahin Shahrampour |
| 2022 | ICASSP | Generalized Sliced Probability Metrics. | Soheil Kolouri, Kimia Nadjahi, Shahin Shahrampour, Umut Simsekli |
| 2021 | AAAI | On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems. | Ting-Jui Chang, Shahin Shahrampour |
| 2021 | CISS | Distributed Mirror Descent with Integral Feedback: Convergence Analysis from a Dynamical System Perspective. | Youbang Sun, Shahin Shahrampour |
| 2021 | ICML | Decentralized Riemannian Gradient Descent on the Stiefel Manifold. | Shixiang Chen, Alfredo Garca, Mingyi Hong, Shahin Shahrampour |
| 2020 | ACSSC | Global Convergence of Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space. | Ting-Jui Chang, Shahin Shahrampour |
| 2020 | ACSSC | Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features. | Yinsong Wang, Hessam Mahdavifar, Kamran Entesari, Shahin Shahrampour |
| 2020 | ICML | Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features. | Liang Ding, Rui Tuo, Shahin Shahrampour |
| 2018 | AAAI | On Data-Dependent Random Features for Improved Generalization in Supervised Learning. | Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh |
| 2017 | ICASSP | Multi-armed bandits in multi-agent networks. | Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie |
| 2015 | AISTATS | Online Optimization : Competing with Dynamic Comparators. | Ali Jadbabaie, Alexander Rakhlin, Shahin Shahrampour, Karthik Sridharan |