Publications

Journal Papers

[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

[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%] 

[C18] Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks [pdf][slides]
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]
Shahin Shahrampour and Vahid Tarokh.
Advances in Neural Information Processing Systems (NIPS), 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.

[C14] On Data-Dependent Random Features for Improved Generalization in Supervised Learning [pdf][arXiv]
Shahin Shahrampour, Ahmad Beirami, and Vahid Tarokh.
AAAI Conference on Artificial Intelligence (AAAI), 2018.     [Acceptance Rate: 24.5%]

[C13] On Optimal Generalizability in Parametric Learning [pdf][arXiv]
Ahmad Beirami, Meisam Razaviayayn, Shahin Shahrampour, and Vahid Tarokh.
Advances in Neural Information Processing Systems (NIPS), 2017.     [Acceptance Rate: 20.9%]

[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.

[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.

[C7] Online Optimization: Competing with Dynamic Comparators [pdf][arXiv]
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.

[C3] Online Learning of Dynamic Parameters in Social Networks [pdf][arXiv]
Shahin Shahrampour, Alexander Rakhlin, and Ali Jadbabaie.
Advances in Neural Information Processing Systems (NIPS), 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.