Journal Papers
[J10] On Distributed Non-convex Optimization: Projected Subgradient Method For Weakly Convex Problems in Networks [arXiv]
Shixiang Chen, Alfredo Garcia, and Shahin Shahrampour
IEEE Transactions on Automatic Control (TAC), Accepted
[J9] Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics [pdf]
Youbang Sun and Shahin Shahrampour
IEEE Control Systems Letters (L-CSS), November 2021.
[J8] An Online Mechanism for Resource Allocation in Networks [pdf]
Shi Pu, J. Joaquin Escudero-Garzas, Alfredo Garcia, and Shahin Shahrampour
IEEE Transactions on Control of Network Systems (TCNS), September 2020.
[J7] Finite-time Guarantees for Byzantine-Resilient Distributed State Estimation with Noisy Measurements [pdf]
Lili Su and Shahin Shahrampour
IEEE Transactions on Automatic Control (TAC), September 2020.
Special Issue: Security and Privacy of Distributed Algorithms and Network Systems
[J6] Online Learning for Multi-Modal Data Fusion with Application to Object Recognition [pdf]
Shahin Shahrampour, Mohammad Noshad, Jie Ding, and Vahid Tarokh
IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II), September 2018.
[J5] Analysis of Multi-State Autoregressive Models [pdf]
Jie Ding, Shahin Shahrampour, Kathryn Heal, and Vahid Tarokh
IEEE Transactions on Signal Processing (TSP), May 2018.
[J4] Distributed Online Optimization in Dynamic Environments Using Mirror Descent [pdf]
Shahin Shahrampour and Ali Jadbabaie
IEEE Transactions on Automatic Control (TAC), March 2018.
[J3] On Sequential Elimination Algorithms for Best-Arm Identification in Multi-Armed Bandits [pdf]
Shahin Shahrampour, Mohammad Noshad, and Vahid Tarokh
IEEE Transactions on Signal Processing (TSP), August 2017.
[J2] Distributed Detection: Finite-time Analysis and Impact of Network Topology [pdf]
Shahin Shahrampour, Alexander Rakhlin, and Ali Jadbabaie
IEEE Transactions on Automatic Control (TAC), November 2016.
[J1] Topology Identification of Directed Dynamical Networks via Power Spectral Analysis [pdf]
Shahin Shahrampour and Victor M. Preciado
IEEE Transactions on Automatic Control (TAC), August 2015.
Refereed Conference Papers
[C23] On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems [pdf]
Ting-Jui Chang and Shahin Shahrampour
AAAI Conference on Artificial Intelligence (AAAI), 2021. [Acceptance Rate: 21.3%]
[C22] Statistical and Topological Properties of Sliced Probability Divergences [pdf]
Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, and Umut Şimşekli
Advances in Neural Information Processing Systems (NeurIPS), 2020. [Acceptance Rate: 20.0%][Spotlight: Top 4.07% of Submissions]
[C21] Global Convergence of Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space
Ting-Jui Chang and Shahin Shahrampour
Asilomar Conference on Signals, Systems, and Computers (Asilomar), 2020
[C20] Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features [pdf]
Yinsong Wang, Hessam Mahdavifar, Kamran Entesari, and Shahin Shahrampour
Asilomar Conference on Signals, Systems, and Computers (Asilomar), 2020
[C19] Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features [pdf][slides]
Liang Ding, Rui Tuo, and Shahin Shahrampour
International Conference on Machine Learning (ICML), 2020. [Acceptance Rate: 21.8%]
Yinsong Wang and Shahin Shahrampour
The American Control Conference (ACC), 2020.
[C17] N-Dimensional Distributed Network Localization with Noisy Range Measurements and Arbitrary Anchor Placement [pdf]
Pedro P. V. Tecchio, Nikolay Atanasov, Shahin Shahrampour, and George J. Pappas
The American Control Conference (ACC), 2019.
[C16] Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels [pdf][arXiv]
Shahin Shahrampour and Vahid Tarokh
Advances in Neural Information Processing Systems (NeurIPS), 2018. [Acceptance Rate: 20.8%]
[C15] Supervised Learning Using Data-Dependent Random Features with Application to Seizure Detection [pdf]
Shahin Shahrampour, Ahmad Beirami, and Vahid Tarokh
IEEE Conference on Decision and Control (CDC), 2018.
Shahin Shahrampour, Ahmad Beirami, and Vahid Tarokh
AAAI Conference on Artificial Intelligence (AAAI), 2018. [Acceptance Rate: 24.5%]
[C12] Nonlinear Sequential Accepts and Rejects for Identification of Top Arms in Stochastic Bandits [pdf]
Shahin Shahrampour and Vahid Tarokh
Allerton Conference on Communication, Control, and Computing (Allerton), 2017.
[C11] An Online Optimization Approach for Multi-Agent Tracking of Dynamic Parameters in the Presence of Adversarial Noise [pdf]
Shahin Shahrampour and Ali Jadbabaie
The American Control Conference (ACC), 2017.
[C10] Multi-Armed Bandits in Multi-Agent Networks [pdf][full version]
Shahin Shahrampour, Alexander Rakhlin, and Ali Jadbabaie
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.
[C9] Online Optimization in Dynamic Environments: Improved Regret Rates for Strongly Convex Problems [pdf]
Aryan Mokhtari, Shahin Shahrampour, Ali Jadbabaie, and Alejandro Ribeiro
IEEE Conference on Decision and Control (CDC), 2016.
[C8] Distributed Estimation of Dynamic Parameters : Regret Analysis [pdf]
Shahin Shahrampour, Alexander Rakhlin, and Ali Jadbabaie
The American Control Conference (ACC), 2016.
Ali Jadbabaie, Alexander Rakhlin, Shahin Shahrampour, and Karthik Sridharan [Alphabetical Order]
Artificial Intelligence and Statistics (AISTATS), 2015. [Acceptance Rate: 26.7%]
[C6] Finite-time Analysis of the Distributed Detection Problem [pdf]
Shahin Shahrampour, Alexander Rakhlin, and Ali Jadbabaie
Allerton Conference on Communication, Control, and Computing (Allerton), 2015.
[C5] Learning Without Recall by Random Walks on Directed Graphs [pdf]
Mohammad Amin Rahimian, Shahin Shahrampour, and Ali Jadbabaie
IEEE Conference on Decision and Control (CDC), 2015.
[C4] Switching to Learn [pdf]
Shahin Shahrampour, Mohammad Amin Rahimian, and Ali Jadbabaie
The American Control Conference (ACC), 2015.
Shahin Shahrampour, Alexander Rakhlin, and Ali Jadbabaie
Advances in Neural Information Processing Systems (NeurIPS), 2013. [Acceptance Rate: 25.3%]
[C2] Exponentially Fast Parameter Estimation in Networks Using Distributed Dual Averaging [pdf]
Shahin Shahrampour and Ali Jadbabaie
IEEE Conference on Decision and Control (CDC), 2013.
[C1] Reconstruction of Directed Networks from Consensus Dynamics [pdf]
Shahin Shahrampour and Victor M. Preciado
The American Control Conference (ACC), 2013.