Shahin Shahrampour

114 papers A* 8A 1C 9Misc 5Journal 80Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Theoretical Analysis of Measure Consistency Regularization for Partially Observed Data.
CoRR
Yinsong Wang, Shahin Shahrampour
2025 J jnl
ADARL: Adaptive Low-Rank Structures for Robust Policy Learning under Uncertainty.
CoRR
Chenliang Li, Junyu Leng, Jiaxiang Li, Youbang Sun, Shixiang Chen, Shahin Shahrampour, Alfredo García
2025 J jnl
Decentralized Online Riemannian Optimization Beyond Hadamard Manifolds.
CoRR
Emre Sahinoglu, Shahin Shahrampour
2025 J jnl
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds.
CoRR
Emre Sahinoglu, Youbang Sun, Shahin Shahrampour
2025 J jnl
Online Optimization on Hadamard Manifolds: Curvature Independent Regret Bounds on Horospherically Convex Objectives.
CoRR
Emre Sahinoglu, Shahin Shahrampour
2025 J jnl
Online Optimization on Hadamard Manifolds: Curvature-Independent Regret Bounds on Horospherically Convex Objectives.
IEEE Control. Syst. Lett.
Emre Sahinoglu, Shahin Shahrampour
2024 A* conf
An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization.
ICML
Emre Sahinoglu, Shahin Shahrampour
2024 J jnl
Global Convergence of Decentralized Retraction-Free Optimization on the Stiefel Manifold.
CoRR
Youbang Sun, Shixiang Chen, Alfredo García, Shahin Shahrampour
2024 J jnl
Linear Convergence of Independent Natural Policy Gradient in Games With Entropy Regularization.
IEEE Control. Syst. Lett.
Youbang Sun, Tao Liu, P. R. Kumar, Shahin Shahrampour
2024 J jnl
Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularization.
CoRR
Youbang Sun, Tao Liu, P. R. Kumar, Shahin Shahrampour
2024 J jnl
Local Linear Convergence of Infeasible Optimization With Orthogonal Constraints.
IEEE Control. Syst. Lett.
Youbang Sun, Shixiang Chen, Alfredo García, Shahin Shahrampour
2024 J jnl
Local Linear Convergence of Infeasible Optimization with Orthogonal Constraints.
CoRR
Youbang Sun, Shixiang Chen, Alfredo García, Shahin Shahrampour
2024 J jnl
On the Local Linear Rate of Consensus on the Stiefel Manifold.
IEEE Trans. Autom. Control.
Shixiang Chen, Alfredo García, Mingyi Hong, Shahin Shahrampour
2024 J jnl
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization.
CoRR
Emre Sahinoglu, Shahin Shahrampour
2024 J jnl
Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems.
IEEE Trans. Autom. Control.
Ting-Jui Chang, Shahin Shahrampour
2024 J jnl
Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG.
CoRR
Ting-Jui Chang, Shahin Shahrampour
2024 J jnl
TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Modality.
Trans. Mach. Learn. Res.
Yinsong Wang, Shahin Shahrampour
2024 J jnl
Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach.
CoRR
Yinsong Wang, Yu Ding, Shahin Shahrampour
2023 J jnl
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems.
CoRR
Ting-Jui Chang, Sapana Chaudhary, Dileep Kalathil, Shahin Shahrampour
2023 J jnl
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems.
Trans. Mach. Learn. Res.
Ting-Jui Chang, Sapana Chaudhary, Dileep Kalathil, Shahin Shahrampour
2023 J jnl
ORCCA: Optimal Randomized Canonical Correlation Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Yinsong Wang, Shahin Shahrampour
2023 J jnl
On Centralized and Distributed Mirror Descent: Convergence Analysis Using Quadratic Constraints.
IEEE Trans. Autom. Control.
Youbang Sun, Mahyar Fazlyab, Shahin Shahrampour
2023 C conf
On the Stability Analysis of Open Federated Learning Systems.
ACC
Youbang Sun, Heshan Devaka Fernando, Tianyi Chen, Shahin Shahrampour
2023 A* conf
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games.
NeurIPS
Youbang Sun, Tao Liu, Ruida Zhou, P. R. Kumar, Shahin Shahrampour
2023 J jnl
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games.
CoRR
Youbang Sun, Tao Liu, Ruida Zhou, P. R. Kumar, Shahin Shahrampour
2023 J jnl
Regret Analysis of Distributed Online Control for LTI Systems with Adversarial Disturbances.
CoRR
Ting-Jui Chang, Shahin Shahrampour
2023 J jnl
TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yinsong Wang, Yu Ding, Shahin Shahrampour
2023 J jnl
TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Data.
CoRR
Yinsong Wang, Shahin Shahrampour
2022 — conf
Distributed Online System Identification for LTI Systems Using Reverse Experience Replay.
CDC
Ting-Jui Chang, Shahin Shahrampour
2022 J jnl
Distributed Online System Identification for LTI Systems Using Reverse Experience Replay.
CoRR
Ting-Jui Chang, Shahin Shahrampour
2022 Misc conf
Generalized Sliced Probability Metrics.
ICASSP
Soheil Kolouri, Kimia Nadjahi, Shahin Shahrampour, Umut Simsekli
2022 J jnl
On Distributed Nonconvex Optimization: Projected Subgradient Method for Weakly Convex Problems in Networks.
IEEE Trans. Autom. Control.
Shixiang Chen, Alfredo García, Shahin Shahrampour
2022 J jnl
On the Stability Analysis of Open Federated Learning Systems.
CoRR
Youbang Sun, Heshan Devaka Fernando, Tianyi Chen, Shahin Shahrampour
2022 J jnl
RFN: A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Spaces.
IEEE Trans. Signal Process.
Ting-Jui Chang, Shahin Shahrampour
2022 J jnl
TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation.
CoRR
Yinsong Wang, Yu Ding, Shahin Shahrampour
2022 — conf
Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach.
DDDAS
Yinsong Wang, Yu Ding, Shahin Shahrampour
2021 J jnl
A Sparse Expansion For Deep Gaussian Processes.
CoRR
Liang Ding, Rui Tuo, Shahin Shahrampour
2021 J jnl
Classification of Officers' Driving Situations Based on Eye-Tracking and Driver Performance Measures.
IEEE Trans. Hum. Mach. Syst.
Maryam Zahabi, Yinsong Wang, Shahin Shahrampour
2021 A* conf
Decentralized Riemannian Gradient Descent on the Stiefel Manifold.
ICML
Shixiang Chen, Alfredo García, Mingyi Hong, Shahin Shahrampour
2021 J jnl
Decentralized Riemannian Gradient Descent on the Stiefel Manifold.
CoRR
Shixiang Chen, Alfredo García, Mingyi Hong, Shahin Shahrampour
2021 J jnl
Distributed Mirror Descent With Integral Feedback: Asymptotic Convergence Analysis of Continuous-Time Dynamics.
IEEE Control. Syst. Lett.
Youbang Sun, Shahin Shahrampour
2021 C conf
Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics.
ACC
Youbang Sun, Shahin Shahrampour
2021 Misc conf
Distributed Mirror Descent with Integral Feedback: Convergence Analysis from a Dynamical System Perspective.
CISS
Youbang Sun, Shahin Shahrampour
2021 C conf
Distributed Online Linear Quadratic Control for Linear Time-invariant Systems.
ACC
Ting-Jui Chang, Shahin Shahrampour
2021 — conf
Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems.
CDC
Youbang Sun, Shahin Shahrampour
2021 J jnl
On Centralized and Distributed Mirror Descent: Exponential Convergence Analysis Using Quadratic Constraints.
CoRR
Youbang Sun, Mahyar Fazlyab, Shahin Shahrampour
2021 A* conf
On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems.
AAAI
Ting-Jui Chang, Shahin Shahrampour
2021 J jnl
On the Local Linear Rate of Consensus on the Stiefel Manifold.
CoRR
Shixiang Chen, Alfredo García, Mingyi Hong, Shahin Shahrampour
2021 J jnl
Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems.
CoRR
Ting-Jui Chang, Shahin Shahrampour
2020 J jnl
A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space.
CoRR
Shahin Shahrampour, Ting-Jui Chang
2020 J jnl
An Online Mechanism for Resource Allocation in Networks.
IEEE Trans. Control. Netw. Syst.
Shi Pu, José Joaquín Escudero Garzás, Alfredo García, Shahin Shahrampour
2020 Misc conf
Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features.
ACSSC
Yinsong Wang, Hessam Mahdavifar, Kamran Entesari, Shahin Shahrampour
2020 J jnl
Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics.
CoRR
Youbang Sun, Shahin Shahrampour
2020 J jnl
Distributed Online Linear Quadratic Control for Linear Time-invariant Systems.
CoRR
Ting-Jui Chang, Shahin Shahrampour
2020 C conf
Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks.
ACC
Yinsong Wang, Shahin Shahrampour
2020 J jnl
Distributed Projected Subgradient Method for Weakly Convex Optimization.
CoRR
Shixiang Chen, Alfredo García, Shahin Shahrampour
2020 J jnl
Finite-Time Guarantees for Byzantine-Resilient Distributed State Estimation With Noisy Measurements.
IEEE Trans. Autom. Control.
Lili Su, Shahin Shahrampour
2020 A* conf
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features.
ICML
Liang Ding, Rui Tuo, Shahin Shahrampour
2020 J jnl
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features.
CoRR
Liang Ding, Rui Tuo, Shahin Shahrampour
2020 J jnl
Generalized Sliced Distances for Probability Distributions.
CoRR
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Shahin Shahrampour
2020 Misc conf
Global Convergence of Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space.
ACSSC
Ting-Jui Chang, Shahin Shahrampour
2020 J jnl
Learning from Non-IID Data in Hilbert Spaces: An Optimal Recovery Perspective.
CoRR
Simon Foucart, Chunyang Liao, Shahin Shahrampour, Yinsong Wang
2020 J jnl
Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems.
CoRR
Youbang Sun, Shahin Shahrampour
2020 J jnl
Overcoming the Curse of Dimensionality in Density Estimation with Mixed Sobolev GANs.
CoRR
Liang Ding, Rui Tuo, Shahin Shahrampour
2020 A* conf
Statistical and Topological Properties of Sliced Probability Divergences.
NeurIPS
Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli
2020 J jnl
Statistical and Topological Properties of Sliced Probability Divergences.
CoRR
Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli
2020 J jnl
Unconstrained Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems.
CoRR
Ting-Jui Chang, Shahin Shahrampour
2019 J jnl
A General Scoring Rule for Randomized Kernel Approximation with Application to Canonical Correlation Analysis.
CoRR
Yinsong Wang, Shahin Shahrampour
2019 J jnl
A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks.
CoRR
Masoud Badiei Khuzani, Liyue Shen, Shahin Shahrampour, Lei Xing
2019 J jnl
Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features.
CoRR
Yinsong Wang, Hessam Mahdavifar, Kamran Entesari, Shahin Shahrampour
2019 J jnl
Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks.
CoRR
Yinsong Wang, Shahin Shahrampour
2019 C conf
N-Dimensional Distributed Network Localization with Noisy Range Measurements and Arbitrary Anchor Placement.
ACC
Pedro P. V. Tecchio, Nikolay Atanasov, Shahin Shahrampour, George J. Pappas
2019 J jnl
On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees.
CoRR
Shahin Shahrampour, Soheil Kolouri
2018 J jnl
Analysis of Multistate Autoregressive Models.
IEEE Trans. Signal Process.
Jie Ding, Shahin Shahrampour, Kathryn Heal, Vahid Tarokh
2018 J jnl
Distributed Online Optimization in Dynamic Environments Using Mirror Descent.
IEEE Trans. Autom. Control.
Shahin Shahrampour, Ali Jadbabaie
2018 J jnl
Finite-time Guarantees for Byzantine-Resilient Distributed State Estimation with Noisy Measurements.
CoRR
Lili Su, Shahin Shahrampour
2018 A* conf
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels.
NeurIPS
Shahin Shahrampour, Vahid Tarokh
2018 J jnl
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels.
CoRR
Shahin Shahrampour, Vahid Tarokh
2018 A* conf
On Data-Dependent Random Features for Improved Generalization in Supervised Learning.
AAAI
Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh
2018 J jnl
Online Learning for Multimodal Data Fusion With Application to Object Recognition.
IEEE Trans. Circuits Syst. II Express Briefs
Shahin Shahrampour, Mohammad Noshad, Jie Ding, Vahid Tarokh
2018 — conf
Supervised Learning Using Data-dependent Random Features with Application to Seizure Detection.
CDC
Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh
2017 J jnl
An Online Optimization Approach for Multi-Agent Tracking of Dynamic Parameters in the Presence of Adversarial Noise.
CoRR
Shahin Shahrampour, Ali Jadbabaie
2017 C conf
An online optimization approach for multi-agent tracking of dynamic parameters in the presence of adversarial noise.
ACC
Shahin Shahrampour, Ali Jadbabaie
2017 Misc conf
Multi-armed bandits in multi-agent networks.
ICASSP
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
2017 J jnl
Nonlinear Sequential Accepts and Rejects for Identification of Top Arms in Stochastic Bandits.
CoRR
Shahin Shahrampour, Vahid Tarokh
2017 — conf
Nonlinear sequential accepts and rejects for identification of top arms in stochastic bandits.
Allerton
Shahin Shahrampour, Vahid Tarokh
2017 J jnl
On Data-Dependent Random Features for Improved Generalization in Supervised Learning.
CoRR
Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh
2017 — conf
On Optimal Generalizability in Parametric Learning.
NIPS
Ahmad Beirami, Meisam Razaviyayn, Shahin Shahrampour, Vahid Tarokh
2017 J jnl
On Optimal Generalizability in Parametric Learning.
CoRR
Ahmad Beirami, Meisam Razaviyayn, Shahin Shahrampour, Vahid Tarokh
2017 J jnl
On Sequential Elimination Algorithms for Best-Arm Identification in Multi-Armed Bandits.
IEEE Trans. Signal Process.
Shahin Shahrampour, Mohammad Noshad, Vahid Tarokh
2016 J jnl
Distributed Detection: Finite-Time Analysis and Impact of Network Topology.
IEEE Trans. Autom. Control.
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
2016 J jnl
Distributed Estimation of Dynamic Parameters : Regret Analysis.
CoRR
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
2016 J jnl
Distributed Online Optimization in Dynamic Environments Using Mirror Descent.
CoRR
Shahin Shahrampour, Ali Jadbabaie
2016 C conf
Distributed estimation of dynamic parameters: Regret analysis.
ACC
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
2016 J jnl
On Sequential Elimination Algorithms for Best-Arm Identification in Multi-Armed Bandits.
CoRR
Shahin Shahrampour, Mohammad Noshad, Vahid Tarokh
2016 J jnl
Online Optimization in Dynamic Environments: Improved Regret Rates for Strongly Convex Problems.
CoRR
Aryan Mokhtari, Shahin Shahrampour, Ali Jadbabaie, Alejandro Ribeiro
2016 — conf
Online optimization in dynamic environments: Improved regret rates for strongly convex problems.
CDC
Aryan Mokhtari, Shahin Shahrampour, Ali Jadbabaie, Alejandro Ribeiro
2015 J jnl
Finite-time Analysis of the Distributed Detection Problem.
CoRR
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
2015 — conf
Finite-time analysis of the distributed detection problem.
Allerton
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
2015 J jnl
Learning without Recall by Random Walks on Directed Graphs.
CoRR
Mohammad Amin Rahimian, Shahin Shahrampour, Ali Jadbabaie
2015 — conf
Learning without recall by random walks on directed graphs.
CDC
Mohammad Amin Rahimian, Shahin Shahrampour, Ali Jadbabaie
2015 A conf
Online Optimization : Competing with Dynamic Comparators.
AISTATS
Ali Jadbabaie, Alexander Rakhlin, Shahin Shahrampour, Karthik Sridharan
2015 J jnl
Online Optimization : Competing with Dynamic Comparators.
CoRR
Ali Jadbabaie, Alexander Rakhlin, Shahin Shahrampour, Karthik Sridharan
2015 J jnl
Switching to Learn.
CoRR
Shahin Shahrampour, Mohammad Amin Rahimian, Ali Jadbabaie
2015 C conf
Switching to learn.
ACC
Shahin Shahrampour, Mohammad Amin Rahimian, Ali Jadbabaie
2015 J jnl
Topology Identification of Directed Dynamical Networks via Power Spectral Analysis.
IEEE Trans. Autom. Control.
Shahin Shahrampour, Victor M. Preciado
2014 J jnl
Distributed Detection : Finite-time Analysis and Impact of Network Topology.
CoRR
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
2013 J jnl
Exponentially Fast Parameter Estimation in Networks Using Distributed Dual Averaging.
CoRR
Shahin Shahrampour, Ali Jadbabaie
2013 — conf
Exponentially fast parameter estimation in networks using distributed dual averagingy.
CDC
Shahin Shahrampour, Ali Jadbabaie
2013 — conf
Online Learning of Dynamic Parameters in Social Networks.
NIPS
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
2013 J jnl
Online Learning of Dynamic Parameters in Social Networks.
CoRR
Shahin Shahrampour, Alexander Rakhlin, Ali Jadbabaie
2013 J jnl
Reconstruction of Directed Networks from Consensus Dynamics
CoRR
Shahin Shahrampour, Victor M. Preciado
2013 C conf
Reconstruction of directed networks from consensus dynamics.
ACC
Shahin Shahrampour, Victor M. Preciado
2013 J jnl
Topology Identification of Directed Dynamical Networks via Power Spectral Analysis.
CoRR
Shahin Shahrampour, Victor M. Preciado