| Online Optimization: Competing with Dynamic Comparators A Jadbabaie, A Rakhlin, S Shahrampour, K Sridharan Artificial Intelligence and Statistics (AISTATS), 398-406, 2015 | 199 | 2015 |
| Distributed online optimization in dynamic environments using mirror descent S Shahrampour, A Jadbabaie IEEE Transactions on Automatic Control (TAC) 63 (3), 714-725, 2018 | 197 | 2018 |
| Online Optimization in Dynamic Environments: Improved Regret Rates for Strongly Convex Problems A Mokhtari, S Shahrampour, A Jadbabaie, A Ribeiro IEEE Conference on Decision and Control (CDC), 7195-7201, 2016 | 162 | 2016 |
| Distributed Detection: Finite-time Analysis and Impact of Network Topology S Shahrampour, A Rakhlin, A Jadbabaie IEEE Transactions on Automatic Control (TAC) 61 (11), 3256-3268, 2016 | 94 | 2016 |
| Topology Identification of Directed Dynamical Networks via Power Spectral Analysis S Shahrampour, VM Preciado IEEE Transactions on Automatic Control (TAC), 2260-2265, 2015 | 87 | 2015 |
| Exponentially fast parameter estimation in networks using distributed dual averaging S Shahrampour, A Jadbabaie IEEE Conference on Decision and Control (CDC), 6196-6201, 2013 | 82 | 2013 |
| Multi-armed bandits in multi-agent networks S Shahrampour, A Rakhlin, A Jadbabaie IEEE International Conference on Acoustics, Speech and Signal Processing …, 2017 | 62 | 2017 |
| Online learning of dynamic parameters in social networks S Shahrampour, S Rakhlin, A Jadbabaie Advances in Neural Information Processing Systems (NIPS), 2013-2021, 2013 | 45 | 2013 |
| On optimal generalizability in parametric learning A Beirami, M Razaviyayn, S Shahrampour, V Tarokh Advances in Neural Information Processing Systems (NIPS), 3455-3465, 2017 | 38 | 2017 |
| Finite-time guarantees for byzantine-resilient distributed state estimation with noisy measurements L Su, S Shahrampour IEEE Transactions on Automatic Control (TAC) 65 (9), 3758 - 3771, 2020 | 36 | 2020 |
| Learning without Recall by Random Walks on Directed Graphs MA Rahimian, S Shahrampour, A Jadbabaie IEEE Conference on Decision and Control (CDC), 5538-5543, 2015 | 28 | 2015 |
| Statistical and topological properties of sliced probability divergences K Nadjahi, A Durmus, L Chizat, S Kolouri, S Shahrampour, U Şimşekli Advances in Neural Information Processing Systems (NeurIPS), 2020 | 26 | 2020 |
| On sequential elimination algorithms for best-arm identification in multi-armed bandits S Shahrampour, M Noshad, V Tarokh IEEE Transactions on Signal Processing (TSP) 65 (16), 4281-4292, 2017 | 26 | 2017 |
| Reconstruction of directed networks from consensus dynamics S Shahrampour, VM Preciado American Control Conference (ACC), 1685-1690, 2013 | 25 | 2013 |
| On data-dependent random features for improved generalization in supervised learning S Shahrampour, A Beirami, V Tarokh Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 4026-4033, 2018 | 18 | 2018 |
| An online optimization approach for multi-agent tracking of dynamic parameters in the presence of adversarial noise S Shahrampour, A Jadbabaie American Control Conference (ACC), 3306-3311, 2017 | 17 | 2017 |
| Switching to Learn S Shahrampour, MA Rahimian, A Jadbabaie American Control Conference (ACC), 2918-2923, 2015 | 17 | 2015 |
| On distributed non-convex optimization: Projected subgradient method for weakly convex problems in networks S Chen, A Garcia, S Shahrampour IEEE Transactions on Automatic Control, 2022 | 11* | 2022 |
| On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems TJ Chang, S Shahrampour Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021 | 10* | 2021 |
| Decentralized Riemannian Gradient Descent on the Stiefel Manifold S Chen, A Garcia, M Hong, S Shahrampour International Conference on Machine Learning (ICML), 2021 | 9 | 2021 |
Ali JadbabaieJR East Professor of Engineering, MITVerified email at mit.edu
