Taylan Kargin

Orcid: 0000-0001-6744-654X

According to our database1, Taylan Kargin authored at least 15 papers between 2022 and 2024.

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Bibliography

2024
Optimal Infinite-Horizon Mixed H<sub>2</sub>/H∞ Control.
CoRR, 2024

The Distributionally Robust Infinite-Horizon LQR.
CoRR, 2024

Distributionally Robust Kalman Filtering over Finite and Infinite Horizon.
CoRR, 2024

Wasserstein distributionally robust regret-optimal control over infinite-horizon.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

A Distributionally Robust Approach to Shannon Limits using the Wasserstein Distance.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Infinite-Horizon Distributionally Robust Regret-Optimal Control.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Optimal Infinite-Horizon Mixed H2/ H∞ Control.
Proceedings of the 60th Annual Allerton Conference on Communication, 2024

2023
Wasserstein Distributionally Robust Regret-Optimal Control in the Infinite-Horizon.
CoRR, 2023

Asymptotic Distribution of Stochastic Mirror Descent Iterates in Average Ensemble Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

Thompson Sampling for Partially Observable Linear-Quadratic Control.
Proceedings of the American Control Conference, 2023

Wasserstein Distributionally Robust Regret-Optimal Control under Partial Observability.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022
Stochastic Mirror Descent in Average Ensemble Models.
CoRR, 2022

Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control.
CoRR, 2022

Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022


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