| Online Optimization: Competing with Dynamic Comparators A Jadbabaie, A Rakhlin, S Shahrampour, K Sridharan Artificial Intelligence and Statistics (AISTATS), 398-406, 2015 | 314 | 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 | 302 | 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 | 261 | 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 | 121 | 2016 |
| Multi-Armed Bandits in Multi-Agent Networks S Shahrampour, A Rakhlin, A Jadbabaie IEEE International Conference on Acoustics, Speech and Signal Processing …, 2017 | 100 | 2017 |
| Topology Identification of Directed Dynamical Networks via Power Spectral Analysis S Shahrampour, VM Preciado IEEE Transactions on Automatic Control (TAC) 60 (8), 2260-2265, 2015 | 95 | 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 | 86 | 2013 |
| 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), 20802-20812, 2020 | 80 | 2020 |
| 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 | 70 | 2020 |
| On Optimal Generalizability in Parametric Learning A Beirami, M Razaviyayn, S Shahrampour, V Tarokh Advances in Neural Information Processing Systems (NIPS), 3455-3465, 2017 | 64 | 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 | 51 | 2013 |
| On Distributed Nonconvex Optimization: Projected Subgradient Method for Weakly Convex Problems in Networks S Chen, A Garcia, S Shahrampour IEEE Transactions on Automatic Control (TAC) 67 (2), 662-675, 2022 | 42 | 2022 |
| 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 | 40 | 2017 |
| Decentralized Riemannian Gradient Descent on the Stiefel Manifold S Chen, A Garcia, M Hong, S Shahrampour International Conference on Machine Learning (ICML), 1594-1605, 2021 | 38 | 2021 |
| 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 | 30 | 2015 |
| On Data-Dependent Random Features for Improved Generalization in Supervised Learning S Shahrampour, A Beirami, V Tarokh AAAI Conference on Artificial Intelligence (AAAI), 4026-4033, 2018 | 29 | 2018 |
| Reconstruction of Directed Networks from Consensus Dynamics S Shahrampour, VM Preciado American Control Conference (ACC), 1685-1690, 2013 | 29 | 2013 |
| 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 | 25 | 2017 |
| On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems TJ Chang, S Shahrampour AAAI Conference on Artificial Intelligence (AAAI), 6966-6973, 2021 | 24* | 2021 |
| Switching to Learn S Shahrampour, MA Rahimian, A Jadbabaie American Control Conference (ACC), 2918-2923, 2015 | 19 | 2015 |
Ali JadbabaieJR East Professor of Engineering, MITVerified email at mit.edu
