Journal Papers

[J18] TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation [pdf]

Yinsong Wang, Yu Ding, and Shahin Shahrampour

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted

[J17] Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems [pdf]

Ting-Jui Chang and Shahin Shahrampour

IEEE Transactions on Automatic Control (TAC), Accepted

[J16] ORCCA: Optimal Randomized Canonical Correlation Analysis [pdf][codes]

Yinsong Wang and Shahin Shahrampour

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Accepted

[J15] A Sparse Expansion for Deep Gaussian Processes [pdf]

Liang Ding, Rui Tuo, and Shahin Shahrampour

IISE Transactions, July 2023.

[J14] On Centralized and Distributed Mirror Descent: Convergence Analysis Using Quadratic Constraints [pdf]

Youbang Sun, Mahyar Fazlyab, and Shahin Shahrampour

IEEE Transactions on Automatic Control (TAC), May 2023.

Special Issue: Learning for Control

[J13] RFN: A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Spaces [pdf]

Ting-Jui Chang and Shahin Shahrampour

IEEE Transactions on Signal Processing (TSP), November 2022.

[J12] Learning from Non-random Data in Hilbert Spaces: An Optimal Recovery Perspective [pdf]

Simon Foucart, Chunyang Liao, Shahin Shahrampour, and Yinsong Wang [Alphabetical Order]

Sampling Theory, Signal Processing, and Data Analysis, April 2022.

[J11] On Distributed Non-convex Optimization: Projected Subgradient Method For Weakly Convex Problems in Networks [pdf]

Shixiang Chen, Alfredo Garcia, and Shahin Shahrampour

IEEE Transactions on Automatic Control (TAC), February 2022.

[J10] Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics [pdf][video]

Youbang Sun and Shahin Shahrampour

IEEE Control Systems Letters (L-CSS), November 2021.

[J9] Classification of Officers’ Driving Situations Based on Eye-Tracking and Driver Performance Measures [pdf]

Maryam Zahabi, Yinsong Wang, and Shahin Shahrampour

IEEE Transactions on Human-Machine Systems (THMS), August 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 System

[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 in Machine Learning

[ML9] Decentralized Riemannian Gradient Descent on the Stiefel Manifold [pdf][slides][codes][video]

Shixiang Chen, Alfredo Garcia, Mingyi Hong, and Shahin Shahrampour

International Conference on Machine Learning (ICML), 2021. [Acceptance Rate: 21.4%]

[ML8] On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems [pdf][video]

Ting-Jui Chang and Shahin Shahrampour

AAAI Conference on Artificial Intelligence (AAAI), 2021. [Acceptance Rate: 21.3%]

[ML7] Statistical and Topological Properties of Sliced Probability Divergences [pdf][video]

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]

[ML6] Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features [pdf][slides][video]

Liang Ding, Rui Tuo, and Shahin Shahrampour

International Conference on Machine Learning (ICML), 2020. [Acceptance Rate: 21.8%]

[ML5] 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%]

[ML4] 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%]

[ML3] On Optimal Generalizability in Parametric Learning [pdf][arXiv]

Ahmad Beirami, Meisam Razaviayayn, Shahin Shahrampour, and Vahid Tarokh
Advances in Neural Information Processing Systems (NeurIPS), 2017. [Acceptance Rate: 20.9%]

[ML2] 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%]

[ML1] Online Learning of Dynamic Parameters in Social Networks [pdf][arXiv]

Shahin Shahrampour, Alexander Rakhlin, and Ali Jadbabaie

Advances in Neural Information Processing Systems (NeurIPS), 2013. [Acceptance Rate: 25.3%]

Refereed Conference Papers in Control, Signal Processing, and Communication

[C21] On the Stability Analysis of Open Federated Learning Systems [pdf]

Youbang Sun, Heshan Fernando, Tianyi Chen, and Shahin Shahrampour

The American Control Conference (ACC), 2023.

[C20] Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach

Yinsong Wang, Yu Ding, and Shahin Shahrampour

International Conference on Dynamic Data Driven Applications Systems (DDDAS), 2022.

[C19] Distributed Online System Identification for LTI Systems Using Reverse Experience Replay [pdf]

Ting-Jui Chang and Shahin Shahrampour

IEEE Conference on Decision and Control (CDC), 2022.

[C18] Generalized Sliced Probability Metrics [pdf]

Soheil Kolouri, Kimia Nadjahi, Shahin Shahrampour, and Umut Simsekli

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022. [Best Paper Award]

[C17] Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems [pdf]

Youbang Sun and Shahin Shahrampour

IEEE Conference on Decision and Control (CDC), 2021.

[C16] Distributed Online Linear Quadratic Control for Linear Time-invariant Systems [pdf]

Ting-Jui Chang and Shahin Shahrampour

The American Control Conference (ACC), 2021.

[C15] Global Convergence of Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space [pdf]

Ting-Jui Chang and Shahin Shahrampour

Asilomar Conference on Signals, Systems, and Computers (Asilomar), 2020

[C14] 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

[C13] Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks [pdf][slides]

Yinsong Wang and Shahin Shahrampour

The American Control Conference (ACC), 2020.

[C12] 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.

[C11] 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.

[C10] 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.

[C9] 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.

[C8] 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.

[C7] 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.

[C6] Distributed Estimation of Dynamic Parameters : Regret Analysis [pdf]

Shahin Shahrampour, Alexander Rakhlin, and Ali Jadbabaie

The American Control Conference (ACC), 2016.

[C5] 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.

[C4] 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.

[C3] Switching to Learn [pdf]

Shahin Shahrampour, Mohammad Amin Rahimian, and Ali Jadbabaie

The American Control Conference (ACC), 2015.

[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 Preciado

The American Control Conference (ACC), 2013.