Shahin Shahrampour

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 88

Top Venues

CoRR

ACC

IEEE Trans. Autom. Control.

CDC

Publications

Youbang Sun, Shixiang Chen, Alfredo García, Shahin Shahrampour
Global Convergence of Decentralized Retraction-Free Optimization on the Stiefel Manifold. CoRR (2024)
Ting-Jui Chang, Shahin Shahrampour
Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems. IEEE Trans. Autom. Control. 69 (1) (2024)
Yinsong Wang, Shahin Shahrampour
TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Modality. Trans. Mach. Learn. Res. 2024 (2024)
Youbang Sun, Tao Liu, P. R. Kumar, Shahin Shahrampour
Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularization. CoRR (2024)
Yinsong Wang, Yu Ding, Shahin Shahrampour
Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach. CoRR (2024)
Emre Sahinoglu, Shahin Shahrampour
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization. CoRR (2024)
Shixiang Chen, Alfredo García, Mingyi Hong, Shahin Shahrampour
On the Local Linear Rate of Consensus on the Stiefel Manifold. IEEE Trans. Autom. Control. 69 (4) (2024)
Youbang Sun, Tao Liu, P. R. Kumar, Shahin Shahrampour
Linear Convergence of Independent Natural Policy Gradient in Games With Entropy Regularization. IEEE Control. Syst. Lett. 8 (2024)
Ting-Jui Chang, Shahin Shahrampour
Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG. CoRR (2024)
Yinsong Wang, Shahin Shahrampour
ORCCA: Optimal Randomized Canonical Correlation Analysis. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Ting-Jui Chang, Sapana Chaudhary, Dileep Kalathil, Shahin Shahrampour
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems. CoRR (2023)
Ting-Jui Chang, Sapana Chaudhary, Dileep Kalathil, Shahin Shahrampour
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems. Trans. Mach. Learn. Res. 2023 (2023)
Youbang Sun, Tao Liu, Ruida Zhou, P. R. Kumar, Shahin Shahrampour
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games. CoRR (2023)
Yinsong Wang, Yu Ding, Shahin Shahrampour
TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Yinsong Wang, Shahin Shahrampour
TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Data. CoRR (2023)
Ting-Jui Chang, Shahin Shahrampour
Regret Analysis of Distributed Online Control for LTI Systems with Adversarial Disturbances. CoRR (2023)
Youbang Sun, Mahyar Fazlyab, Shahin Shahrampour
On Centralized and Distributed Mirror Descent: Convergence Analysis Using Quadratic Constraints. IEEE Trans. Autom. Control. 68 (5) (2023)
Youbang Sun, Heshan Fernando, Tianyi Chen, Shahin Shahrampour
On the Stability Analysis of Open Federated Learning Systems. ACC (2023)
Youbang Sun, Tao Liu, Ruida Zhou, P. R. Kumar, Shahin Shahrampour
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games. NeurIPS (2023)
Ting-Jui Chang, Shahin Shahrampour
Distributed Online System Identification for LTI Systems Using Reverse Experience Replay. CDC (2022)
Ting-Jui Chang, Shahin Shahrampour
RFN: A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Spaces. IEEE Trans. Signal Process. 70 (2022)
Yinsong Wang, Yu Ding, Shahin Shahrampour
TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation. CoRR (2022)
Youbang Sun, Heshan Fernando, Tianyi Chen, Shahin Shahrampour
On the Stability Analysis of Open Federated Learning Systems. CoRR (2022)
Shixiang Chen, Alfredo Garcia, Shahin Shahrampour
On Distributed Nonconvex Optimization: Projected Subgradient Method for Weakly Convex Problems in Networks. IEEE Trans. Autom. Control. 67 (2) (2022)
Yinsong Wang, Yu Ding, Shahin Shahrampour
Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach. DDDAS (2022)
Soheil Kolouri, Kimia Nadjahi, Shahin Shahrampour, Umut Simsekli
Generalized Sliced Probability Metrics. ICASSP (2022)
Ting-Jui Chang, Shahin Shahrampour
Distributed Online System Identification for LTI Systems Using Reverse Experience Replay. CoRR (2022)
Ting-Jui Chang, Shahin Shahrampour
Distributed Online Linear Quadratic Control for Linear Time-invariant Systems. ACC (2021)
Ting-Jui Chang, Shahin Shahrampour
Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems. CoRR (2021)
Youbang Sun, Shahin Shahrampour
Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems. CDC (2021)
Shixiang Chen, Alfredo Garcia, Mingyi Hong, Shahin Shahrampour
Decentralized Riemannian Gradient Descent on the Stiefel Manifold. CoRR (2021)
Maryam Zahabi, Yinsong Wang, Shahin Shahrampour
Classification of Officers' Driving Situations Based on Eye-Tracking and Driver Performance Measures. IEEE Trans. Hum. Mach. Syst. 51 (4) (2021)
Liang Ding, Rui Tuo, Shahin Shahrampour
A Sparse Expansion For Deep Gaussian Processes. CoRR (2021)
Shixiang Chen, Alfredo Garcia, Mingyi Hong, Shahin Shahrampour
Decentralized Riemannian Gradient Descent on the Stiefel Manifold. ICML (2021)
Youbang Sun, Shahin Shahrampour
Distributed Mirror Descent With Integral Feedback: Asymptotic Convergence Analysis of Continuous-Time Dynamics. IEEE Control. Syst. Lett. 5 (5) (2021)
Youbang Sun, Mahyar Fazlyab, Shahin Shahrampour
On Centralized and Distributed Mirror Descent: Exponential Convergence Analysis Using Quadratic Constraints. CoRR (2021)
Youbang Sun, Shahin Shahrampour
Distributed Mirror Descent with Integral Feedback: Convergence Analysis from a Dynamical System Perspective. CISS (2021)
Ting-Jui Chang, Shahin Shahrampour
On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems. AAAI (2021)
Shixiang Chen, Alfredo Garcia, Mingyi Hong, Shahin Shahrampour
On the Local Linear Rate of Consensus on the Stiefel Manifold. CoRR (2021)
Youbang Sun, Shahin Shahrampour
Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics. ACC (2021)
Ting-Jui Chang, Shahin Shahrampour
Unconstrained Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems. CoRR (2020)
Liang Ding, Rui Tuo, Shahin Shahrampour
Overcoming the Curse of Dimensionality in Density Estimation with Mixed Sobolev GANs. CoRR (2020)
Youbang Sun, Shahin Shahrampour
Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems. CoRR (2020)
Shahin Shahrampour, Ting-Jui Chang
A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space. CoRR (2020)
Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli
Statistical and Topological Properties of Sliced Probability Divergences. NeurIPS (2020)
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Shahin Shahrampour
Generalized Sliced Distances for Probability Distributions. CoRR (2020)
Youbang Sun, Shahin Shahrampour
Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics. CoRR (2020)
Ting-Jui Chang, Shahin Shahrampour
Global Convergence of Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space. ACSSC (2020)
Shi Pu, José Joaquín Escudero Garzás, Alfredo Garcia, Shahin Shahrampour
An Online Mechanism for Resource Allocation in Networks. IEEE Trans. Control. Netw. Syst. 7 (3) (2020)
Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli
Statistical and Topological Properties of Sliced Probability Divergences. CoRR (2020)
Yinsong Wang, Hessam Mahdavifar, Kamran Entesari, Shahin Shahrampour
Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features. ACSSC (2020)
Ting-Jui Chang, Shahin Shahrampour
Distributed Online Linear Quadratic Control for Linear Time-invariant Systems. CoRR (2020)
Liang Ding, Rui Tuo, Shahin Shahrampour
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features. ICML (2020)
Yinsong Wang, Shahin Shahrampour
Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks. ACC (2020)
Shixiang Chen, Alfredo Garcia, Shahin Shahrampour
Distributed Projected Subgradient Method for Weakly Convex Optimization. CoRR (2020)
Simon Foucart, Chunyang Liao, Shahin Shahrampour, Yinsong Wang
Learning from Non-IID Data in Hilbert Spaces: An Optimal Recovery Perspective. CoRR (2020)
Liang Ding, Rui Tuo, Shahin Shahrampour
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features. CoRR (2020)
Lili Su, Shahin Shahrampour
Finite-Time Guarantees for Byzantine-Resilient Distributed State Estimation With Noisy Measurements. IEEE Trans. Autom. Control. 65 (9) (2020)
Pedro P. V. Tecchio, Nikolay Atanasov, Shahin Shahrampour, George J. Pappas
N-Dimensional Distributed Network Localization with Noisy Range Measurements and Arbitrary Anchor Placement. ACC (2019)
Masoud Badiei Khuzani, Liyue Shen, Shahin Shahrampour, Lei Xing
A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks. CoRR (2019)
Shahin Shahrampour, Soheil Kolouri
On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees. CoRR (2019)
Yinsong Wang, Hessam Mahdavifar, Kamran Entesari, Shahin Shahrampour
Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features. CoRR (2019)
Yinsong Wang, Shahin Shahrampour
A General Scoring Rule for Randomized Kernel Approximation with Application to Canonical Correlation Analysis. CoRR (2019)
Yinsong Wang, Shahin Shahrampour
Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks. CoRR (2019)
Shahin Shahrampour, Mohammad Noshad, Jie Ding, Vahid Tarokh
Online Learning for Multimodal Data Fusion With Application to Object Recognition. IEEE Trans. Circuits Syst. II Express Briefs (9) (2018)
Shahin Shahrampour, Vahid Tarokh
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels. NeurIPS (2018)
Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh
On Data-Dependent Random Features for Improved Generalization in Supervised Learning. AAAI (2018)
Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh
Supervised Learning Using Data-dependent Random Features with Application to Seizure Detection. CDC (2018)
Shahin Shahrampour, Vahid Tarokh
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels. CoRR (2018)
Jie Ding, Shahin Shahrampour, Kathryn Heal, Vahid Tarokh
Analysis of Multistate Autoregressive Models. IEEE Trans. Signal Process. 66 (9) (2018)
Shahin Shahrampour, Ali Jadbabaie
Distributed Online Optimization in Dynamic Environments Using Mirror Descent. IEEE Trans. Autom. Control. 63 (3) (2018)
Lili Su, Shahin Shahrampour
Finite-time Guarantees for Byzantine-Resilient Distributed State Estimation with Noisy Measurements. CoRR (2018)
Shahin Shahrampour, Vahid Tarokh
Nonlinear Sequential Accepts and Rejects for Identification of Top Arms in Stochastic Bandits. CoRR (2017)
Ahmad Beirami, Meisam Razaviyayn, Shahin Shahrampour, Vahid Tarokh
On Optimal Generalizability in Parametric Learning. NIPS (2017)
Shahin Shahrampour, Ali Jadbabaie
An Online Optimization Approach for Multi-Agent Tracking of Dynamic Parameters in the Presence of Adversarial Noise. CoRR (2017)
Shahin Shahrampour, Ali Jadbabaie
An online optimization approach for multi-agent tracking of dynamic parameters in the presence of adversarial noise. ACC (2017)
Ahmad Beirami, Meisam Razaviyayn, Shahin Shahrampour, Vahid Tarokh
On Optimal Generalizability in Parametric Learning. CoRR (2017)
Shahin Shahrampour, Mohammad Noshad, Vahid Tarokh
On Sequential Elimination Algorithms for Best-Arm Identification in Multi-Armed Bandits. IEEE Trans. Signal Process. 65 (16) (2017)
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
Multi-armed bandits in multi-agent networks. ICASSP (2017)
Shahin Shahrampour, Vahid Tarokh
Nonlinear sequential accepts and rejects for identification of top arms in stochastic bandits. Allerton (2017)
Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh
On Data-Dependent Random Features for Improved Generalization in Supervised Learning. CoRR (2017)
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
Distributed estimation of dynamic parameters: Regret analysis. ACC (2016)
Aryan Mokhtari, Shahin Shahrampour, Ali Jadbabaie, Alejandro Ribeiro
Online optimization in dynamic environments: Improved regret rates for strongly convex problems. CDC (2016)
Shahin Shahrampour, Mohammad Noshad, Vahid Tarokh
On Sequential Elimination Algorithms for Best-Arm Identification in Multi-Armed Bandits. CoRR (2016)
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
Distributed Detection: Finite-Time Analysis and Impact of Network Topology. IEEE Trans. Autom. Control. 61 (11) (2016)
Aryan Mokhtari, Shahin Shahrampour, Ali Jadbabaie, Alejandro Ribeiro
Online Optimization in Dynamic Environments: Improved Regret Rates for Strongly Convex Problems. CoRR (2016)
Shahin Shahrampour, Ali Jadbabaie
Distributed Online Optimization in Dynamic Environments Using Mirror Descent. CoRR (2016)
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
Distributed Estimation of Dynamic Parameters : Regret Analysis. CoRR (2016)
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
Finite-time analysis of the distributed detection problem. Allerton (2015)
Shahin Shahrampour, Victor M. Preciado
Topology Identification of Directed Dynamical Networks via Power Spectral Analysis. IEEE Trans. Autom. Control. 60 (8) (2015)
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
Finite-time Analysis of the Distributed Detection Problem. CoRR (2015)
Shahin Shahrampour, Mohammad Amin Rahimian, Ali Jadbabaie
Switching to learn. ACC (2015)
Mohammad Amin Rahimian, Shahin Shahrampour, Ali Jadbabaie
Learning without Recall by Random Walks on Directed Graphs. CoRR (2015)
Ali Jadbabaie, Alexander Rakhlin, Shahin Shahrampour, Karthik Sridharan
Online Optimization : Competing with Dynamic Comparators. AISTATS (2015)
Ali Jadbabaie, Alexander Rakhlin, Shahin Shahrampour, Karthik Sridharan
Online Optimization : Competing with Dynamic Comparators. CoRR (2015)
Mohammad Amin Rahimian, Shahin Shahrampour, Ali Jadbabaie
Learning without recall by random walks on directed graphs. CDC (2015)
Shahin Shahrampour, Mohammad Amin Rahimian, Ali Jadbabaie
Switching to Learn. CoRR (2015)
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
Distributed Detection : Finite-time Analysis and Impact of Network Topology. CoRR (2014)
Shahin Shahrampour, Victor M. Preciado
Reconstruction of directed networks from consensus dynamics. ACC (2013)
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
Online Learning of Dynamic Parameters in Social Networks. NIPS (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shahin Shahrampour