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Taylan Kargin
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Thompson Sampling Achieves Regret in Linear Quadratic Control
T Kargin, S Lale, K Azizzadenesheli, A Anandkumar, B Hassibi
Conference on Learning Theory, 3235-3284, 2022
152022
Wasserstein distributionally robust regret-optimal control under partial observability
J Hajar, T Kargin, B Hassibi
2023 59th Annual Allerton Conference on Communication, Control, and …, 2023
72023
Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
Y Li, J Yu, L Conger, T Kargin, A Wierman
Forty-first International Conference on Machine Learning, 2024
6*2024
Thompson sampling for partially observable linear-quadratic control
T Kargin, S Lale, K Azizzadenesheli, A Anandkumar, B Hassibi
2023 American Control Conference (ACC), 4561-4568, 2023
62023
Wasserstein distributionally robust regret-optimal control over infinite-horizon
T Kargin, J Hajar, V Malik, B Hassibi
6th Annual Learning for Dynamics & Control Conference, 1688-1701, 2024
4*2024
Infinite-Horizon Distributionally Robust Regret-Optimal Control
T Kargin, J Hajar, V Malik, B Hassibi
Forty-first International Conference on Machine Learning, 2024
32024
Distributionally robust Kalman filtering over finite and infinite horizon
T Kargin, J Hajar, V Malik, B Hassibi
arXiv preprint arXiv:2407.18837, 2024
12024
Asymptotic Distribution of Stochastic Mirror Descent Iterates in Average Ensemble Models
T Kargin, F Salehi, B Hassibi
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
1*2023
Optimal Infinite-Horizon Mixed H2/ H∞ Control
V Malik, T Kargin, J Hajar, B Hassibi
2024 60th Annual Allerton Conference on Communication, Control, and …, 2024
2024
The Distributionally Robust Infinite-Horizon LQR
J Hajar, T Kargin, V Malik, B Hassibi
arXiv preprint arXiv:2408.06230, 2024
2024
A Distributionally Robust Approach to Shannon Limits using the Wasserstein Distance
V Malik, T Kargin, V Kostina, B Hassibi
arXiv preprint arXiv:2405.06528, 2024
2024
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Articles 1–11