# Shahin Shahrampour

According to our database

Collaborative distances:

^{1}, Shahin Shahrampour authored at least 44 papers between 2013 and 2021.Collaborative distances:

## Timeline

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## Bibliography

2021

Distributed Mirror Descent With Integral Feedback: Asymptotic Convergence Analysis of Continuous-Time Dynamics.

IEEE Control. Syst. Lett., 2021

CoRR, 2021

CoRR, 2021

2020

IEEE Trans. Control. Netw. Syst., 2020

Finite-Time Guarantees for Byzantine-Resilient Distributed State Estimation With Noisy Measurements.

IEEE Trans. Autom. Control., 2020

Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems.

CoRR, 2020

CoRR, 2020

Unconstrained Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems.

CoRR, 2020

CoRR, 2020

Overcoming the Curse of Dimensionality in Density Estimation with Mixed Sobolev GANs.

CoRR, 2020

CoRR, 2020

CoRR, 2020

A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space.

CoRR, 2020

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features.

Proceedings of the 37th International Conference on Machine Learning, 2020

Proceedings of the 2020 American Control Conference, 2020

2019

Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features.

CoRR, 2019

A General Scoring Rule for Randomized Kernel Approximation with Application to Canonical Correlation Analysis.

CoRR, 2019

A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks.

CoRR, 2019

On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees.

CoRR, 2019

N-Dimensional Distributed Network Localization with Noisy Range Measurements and Arbitrary Anchor Placement.

Proceedings of the 2019 American Control Conference, 2019

2018

IEEE Trans. Signal Process., 2018

Online Learning for Multimodal Data Fusion With Application to Object Recognition.

IEEE Trans. Circuits Syst. II Express Briefs, 2018

IEEE Trans. Autom. Control., 2018

Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels.

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Supervised Learning Using Data-dependent Random Features with Application to Seizure Detection.

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

On Data-Dependent Random Features for Improved Generalization in Supervised Learning.

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

On Sequential Elimination Algorithms for Best-Arm Identification in Multi-Armed Bandits.

IEEE Trans. Signal Process., 2017

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

An online optimization approach for multi-agent tracking of dynamic parameters in the presence of adversarial noise.

Proceedings of the 2017 American Control Conference, 2017

Nonlinear sequential accepts and rejects for identification of top arms in stochastic bandits.

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

IEEE Trans. Autom. Control., 2016

Online optimization in dynamic environments: Improved regret rates for strongly convex problems.

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Proceedings of the 2016 American Control Conference, 2016

2015

Topology Identification of Directed Dynamical Networks via Power Spectral Analysis.

IEEE Trans. Autom. Control., 2015

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Proceedings of the American Control Conference, 2015

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2013

Exponentially Fast Parameter Estimation in Networks Using Distributed Dual Averaging.

CoRR, 2013

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Exponentially fast parameter estimation in networks using distributed dual averagingy.

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Proceedings of the American Control Conference, 2013