Reconstruction of directed networks from consensus dynamics. - Shahin Shahrampour; Victor M. Preciado (ACC, 2013)

Exponentially fast parameter estimation in networks using distributed dual averagingy. - Shahin Shahrampour; Ali Jadbabaie (CDC, 2013)

Online Learning of Dynamic Parameters in Social Networks. - Shahin Shahrampour; Alexander Rakhlin; Ali Jadbabaie (NIPS, 2013)

Exponentially Fast Parameter Estimation in Networks Using Distributed Dual Averaging. - Shahin Shahrampour; Ali Jadbabaie (CoRR, 2013)

Online Optimization : Competing with Dynamic Comparators. - Ali Jadbabaie; Alexander Rakhlin; Shahin Shahrampour; Karthik Sridharan (AISTATS, 2015)

Finite-time analysis of the distributed detection problem. - Shahin Shahrampour; Alexander Rakhlin; Ali Jadbabaie (Allerton, 2015)

Switching to learn. - Shahin Shahrampour; Mohammad Amin Rahimian; Ali Jadbabaie (ACC, 2015)

Learning without recall by random walks on directed graphs. - Mohammad Amin Rahimian; Shahin Shahrampour; Ali Jadbabaie (CDC, 2015)

Topology Identification of Directed Dynamical Networks via Power Spectral Analysis. - Shahin Shahrampour; Victor M. Preciado (IEEE Trans. Autom. Control., 2015)

Distributed estimation of dynamic parameters: Regret analysis. - Shahin Shahrampour; Alexander Rakhlin; Ali Jadbabaie (ACC, 2016)

Online optimization in dynamic environments: Improved regret rates for strongly convex problems. - Aryan Mokhtari; Shahin Shahrampour; Ali Jadbabaie; Alejandro Ribeiro (CDC, 2016)

Distributed Detection: Finite-Time Analysis and Impact of Network Topology. - Shahin Shahrampour; Alexander Rakhlin; Ali Jadbabaie (IEEE Trans. Autom. Control., 2016)

Nonlinear sequential accepts and rejects for identification of top arms in stochastic bandits. - Shahin Shahrampour; Vahid Tarokh (Allerton, 2017)

An online optimization approach for multi-agent tracking of dynamic parameters in the presence of adversarial noise. - Shahin Shahrampour; Ali Jadbabaie (ACC, 2017)

Multi-armed bandits in multi-agent networks. - Shahin Shahrampour; Alexander Rakhlin; Ali Jadbabaie (ICASSP, 2017)

On Optimal Generalizability in Parametric Learning. - Ahmad Beirami; Meisam Razaviyayn; Shahin Shahrampour; Vahid Tarokh (NIPS, 2017)

On Sequential Elimination Algorithms for Best-Arm Identification in Multi-Armed Bandits. - Shahin Shahrampour; Mohammad Noshad; Vahid Tarokh (IEEE Trans. Signal Process., 2017)

On Data-Dependent Random Features for Improved Generalization in Supervised Learning. - Shahin Shahrampour; Ahmad Beirami; Vahid Tarokh (AAAI, 2018)

Supervised Learning Using Data-dependent Random Features with Application to Seizure Detection. - Shahin Shahrampour; Ahmad Beirami; Vahid Tarokh (CDC, 2018)

Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels. - Shahin Shahrampour; Vahid Tarokh (NeurIPS, 2018)

Distributed Online Optimization in Dynamic Environments Using Mirror Descent. - Shahin Shahrampour; Ali Jadbabaie (IEEE Trans. Autom. Control., 2018)

Online Learning for Multimodal Data Fusion With Application to Object Recognition. - Shahin Shahrampour; Mohammad Noshad; Jie Ding 002; Vahid Tarokh (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

Analysis of Multistate Autoregressive Models. - Jie Ding 002; Shahin Shahrampour; Kathryn Heal; Vahid Tarokh (IEEE Trans. Signal Process., 2018)

N-Dimensional Distributed Network Localization with Noisy Range Measurements and Arbitrary Anchor Placement. - Pedro P. V. Tecchio; Nikolay Atanasov 001; Shahin Shahrampour; George J. Pappas (ACC, 2019)

On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees. - Shahin Shahrampour; Soheil Kolouri (CoRR, 2019)

A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks. - Masoud Badiei Khuzani; Liyue Shen; Shahin Shahrampour; Lei Xing 001 (CoRR, 2019)

A General Scoring Rule for Randomized Kernel Approximation with Application to Canonical Correlation Analysis. - Yinsong Wang; Shahin Shahrampour (CoRR, 2019)

Global Convergence of Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space. - Ting-Jui Chang; Shahin Shahrampour (ACSSC, 2020)

Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features. - Yinsong Wang; Hessam Mahdavifar; Kamran Entesari; Shahin Shahrampour (ACSSC, 2020)

Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks. - Yinsong Wang; Shahin Shahrampour (ACC, 2020)

Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features. - Liang Ding 003; Rui Tuo; Shahin Shahrampour (ICML, 2020)

Statistical and Topological Properties of Sliced Probability Divergences. - Kimia Nadjahi; Alain Durmus; Lénaïc Chizat; Soheil Kolouri; Shahin Shahrampour; Umut Simsekli (NeurIPS, 2020)

A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space. - Shahin Shahrampour; Ting-Jui Chang (CoRR, 2020)

Generalized Sliced Distances for Probability Distributions. - Soheil Kolouri; Kimia Nadjahi; Umut Simsekli; Shahin Shahrampour (CoRR, 2020)

Distributed Projected Subgradient Method for Weakly Convex Optimization. - Shixiang Chen; Alfredo García 001; Shahin Shahrampour (CoRR, 2020)

Overcoming the Curse of Dimensionality in Density Estimation with Mixed Sobolev GANs. - Liang Ding 003; Rui Tuo; Shahin Shahrampour (CoRR, 2020)

Learning from Non-IID Data in Hilbert Spaces: An Optimal Recovery Perspective. - Simon Foucart; Chunyang Liao; Shahin Shahrampour; Yinsong Wang (CoRR, 2020)

Unconstrained Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems. - Ting-Jui Chang; Shahin Shahrampour (CoRR, 2020)

Finite-Time Guarantees for Byzantine-Resilient Distributed State Estimation With Noisy Measurements. - Lili Su; Shahin Shahrampour (IEEE Trans. Autom. Control., 2020)

An Online Mechanism for Resource Allocation in Networks. - Shi Pu 004; José Joaquín Escudero Garzás; Alfredo García 001; Shahin Shahrampour (IEEE Trans. Control. Netw. Syst., 2020)

On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems. - Ting-Jui Chang; Shahin Shahrampour (AAAI, 2021)

Distributed Online Linear Quadratic Control for Linear Time-invariant Systems. - Ting-Jui Chang; Shahin Shahrampour (ACC, 2021)

Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems. - Youbang Sun; Shahin Shahrampour (CDC, 2021)

Distributed Mirror Descent with Integral Feedback: Convergence Analysis from a Dynamical System Perspective. - Youbang Sun; Shahin Shahrampour (CISS, 2021)

Decentralized Riemannian Gradient Descent on the Stiefel Manifold. - Shixiang Chen; Alfredo García 001; Mingyi Hong 001; Shahin Shahrampour (ICML, 2021)

On Centralized and Distributed Mirror Descent: Exponential Convergence Analysis Using Quadratic Constraints. - Youbang Sun; Mahyar Fazlyab; Shahin Shahrampour (CoRR, 2021)

A Sparse Expansion For Deep Gaussian Processes. - Liang Ding 003; Rui Tuo; Shahin Shahrampour (CoRR, 2021)

Distributed Mirror Descent With Integral Feedback: Asymptotic Convergence Analysis of Continuous-Time Dynamics. - Youbang Sun; Shahin Shahrampour (IEEE Control. Syst. Lett., 2021)

Classification of Officers' Driving Situations Based on Eye-Tracking and Driver Performance Measures. - Maryam Zahabi; Yinsong Wang; Shahin Shahrampour (IEEE Trans. Hum. Mach. Syst., 2021)

Distributed Online System Identification for LTI Systems Using Reverse Experience Replay. - Ting-Jui Chang; Shahin Shahrampour (CDC, 2022)

Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach. - Yinsong Wang; Yu Ding 002; Shahin Shahrampour (DDDAS, 2022)

Generalized Sliced Probability Metrics. - Soheil Kolouri; Kimia Nadjahi; Shahin Shahrampour; Umut Simsekli (ICASSP, 2022)

On Distributed Nonconvex Optimization: Projected Subgradient Method for Weakly Convex Problems in Networks. - Shixiang Chen; Alfredo García 001; Shahin Shahrampour (IEEE Trans. Autom. Control., 2022)

RFN: A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Spaces. - Ting-Jui Chang; Shahin Shahrampour (IEEE Trans. Signal Process., 2022)

On the Stability Analysis of Open Federated Learning Systems. - Youbang Sun; Heshan Devaka Fernando; Tianyi Chen; Shahin Shahrampour (ACC, 2023)

Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games. - Youbang Sun; Tao Liu 035; Ruida Zhou; P. R. Kumar 001; Shahin Shahrampour (NeurIPS, 2023)

TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Data. - Yinsong Wang; Shahin Shahrampour (CoRR, 2023)

Regret Analysis of Distributed Online Control for LTI Systems with Adversarial Disturbances. - Ting-Jui Chang; Shahin Shahrampour (CoRR, 2023)

Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems. - Ting-Jui Chang; Sapana Chaudhary; Dileep Kalathil; Shahin Shahrampour (Trans. Mach. Learn. Res., 2023)

On Centralized and Distributed Mirror Descent: Convergence Analysis Using Quadratic Constraints. - Youbang Sun; Mahyar Fazlyab; Shahin Shahrampour (IEEE Trans. Autom. Control., 2023)

ORCCA: Optimal Randomized Canonical Correlation Analysis. - Yinsong Wang; Shahin Shahrampour (IEEE Trans. Neural Networks Learn. Syst., 2023)

TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation. - Yinsong Wang; Yu Ding 002; Shahin Shahrampour (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization. - Emre Sahinoglu; Shahin Shahrampour (ICML, 2024)

Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG. - Ting-Jui Chang; Shahin Shahrampour (CoRR, 2024)

Global Convergence of Decentralized Retraction-Free Optimization on the Stiefel Manifold. - Youbang Sun; Shixiang Chen; Alfredo García 001; Shahin Shahrampour (CoRR, 2024)

Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization. - Emre Sahinoglu; Shahin Shahrampour (CoRR, 2024)

Local Linear Convergence of Infeasible Optimization With Orthogonal Constraints. - Youbang Sun; Shixiang Chen; Alfredo García 001; Shahin Shahrampour (IEEE Control. Syst. Lett., 2024)

Linear Convergence of Independent Natural Policy Gradient in Games With Entropy Regularization. - Youbang Sun; Tao Liu 035; P. R. Kumar 001; Shahin Shahrampour (IEEE Control. Syst. Lett., 2024)

TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Modality. - Yinsong Wang; Shahin Shahrampour (Trans. Mach. Learn. Res., 2024)

Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems. - Ting-Jui Chang; Shahin Shahrampour (IEEE Trans. Autom. Control., 2024)

On the Local Linear Rate of Consensus on the Stiefel Manifold. - Shixiang Chen; Alfredo García 001; Mingyi Hong 001; Shahin Shahrampour (IEEE Trans. Autom. Control., 2024)