Takip et
Szabolcs Szentpéteri
Szabolcs Szentpéteri
SZTAKI: Institute for Computer Science and Control, Budapest, Hungary
sztaki.hu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Non-asymptotic state-space identification of closed-loop stochastic linear systems using instrumental variables
S Szentpéteri, BC Csáji
Systems & Control Letters 178, 105565, 2023
62023
Sample Complexity of the Sign-Perturbed Sums Identification Method: Scalar Case
S Szentpéteri, BC Csáji
IFAC-PapersOnLine 56 (2), 10363-10370, 2023
52023
Sample complexity of the Sign-Perturbed Sums method
S Szentpéteri, BC Csáji
Automatica, 112020, 2024
12024
Finite-Sample Identification of Linear Regression Models With Residual-Permuted Sums
S Szentpéteri, BC Csáji
IEEE Control Systems Letters, 2024
12024
Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions
A Tamás, S Szentpéteri, B Csáji
International Conference on Artificial Intelligence and Statistics, 3439-3447, 2024
12024
Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression
S Szentpéteri, BC Csáji
arXiv preprint arXiv:2409.08801, 2024
2024
Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits
A Tamás, S Szentpéteri, BC Csáji
arXiv preprint arXiv:2406.05710, 2024
2024
Reinforcement Learning Based Resource Management for CAR T-Cell Therapies
S Szentpéteri, KB Kis, P Egri, C Sanges, S Danhof, K Mestermann, ...
Procedia CIRP 125, 154-159, 2024
2024
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–8