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Sahin Lale
Sahin Lale
PhD Candidate, Caltech
caltech.edu의 이메일 확인됨 - 홈페이지
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연도
Logarithmic regret bound in partially observable linear dynamical systems
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
Neural Information Processing Systems (NeurIPS), 2020
722020
Stochastic mirror descent on overparameterized nonlinear models
N Azizan, S Lale, B Hassibi
IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7717-7727, 2021
442021
Reinforcement learning with fast stabilization in linear dynamical systems
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
International Conference on Artificial Intelligence and Statistics, 5354-5390, 2022
41*2022
Adaptive control and regret minimization in linear quadratic gaussian (lqg) setting
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
2021 American Control Conference (ACC), 2517-2522, 2021
28*2021
Regret minimization in partially observable linear quadratic control
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
arXiv preprint arXiv:2002.00082, 2020
152020
Stochastic linear bandits with hidden low rank structure
S Lale, K Azizzadenesheli, A Anandkumar, B Hassibi
arXiv preprint arXiv:1901.09490, 2019
142019
Regret-optimal full-information control
O Sabag, G Goel, S Lale, B Hassibi
arXiv preprint arXiv:2105.01244, 2021
132021
Model learning predictive control in nonlinear dynamical systems
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
2021 60th IEEE Conference on Decision and Control (CDC), 757-762, 2021
102021
Regret-optimal controller for the full-information problem
O Sabag, G Goel, S Lale, B Hassibi
2021 American Control Conference (ACC), 4777-4782, 2021
102021
A study of generalization of stochastic mirror descent algorithms on overparameterized nonlinear models
N Azizan, S Lale, B Hassibi
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
72020
Finite-time system identification and adaptive control in autoregressive exogenous systems
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
Learning for Dynamics and Control, 967-979, 2021
62021
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
42022
Optimal competitive-ratio control
O Sabag, S Lale, B Hassibi
arXiv preprint arXiv:2206.01782, 2022
42022
Stable online control of linear time-varying systems
G Qu, Y Shi, S Lale, A Anandkumar, A Wierman
Learning for Dynamics and Control, 742-753, 2021
42021
Forecasting subcritical cylinder wakes with Fourier Neural Operators
PI Renn, C Wang, S Lale, Z Li, A Anandkumar, M Gharib
arXiv preprint arXiv:2301.08290, 2023
12023
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems
S Lale, Y Shi, G Qu, K Azizzadenesheli, A Wierman, A Anandkumar
arXiv preprint arXiv:2206.01704, 2022
12022
Explicit Regularization via Regularizer Mirror Descent
N Azizan, S Lale, B Hassibi
arXiv preprint arXiv:2202.10788, 2022
1*2022
Stability and identification of random asynchronous linear time-invariant systems
S Lale, O Teke, B Hassibi, A Anandkumar
Learning for Dynamics and Control, 651-663, 2021
12021
Competitive-Ratio and Regret-Optimal Control with General Weights
O Sabag, S Lale, B Hassibi
2022 IEEE 61st Conference on Decision and Control (CDC), 4859-4864, 2022
2022
Experimental application of neural operators for prediction of bluff body wakes
P Renn, Z Li, C Wang, S Lale, A Anandkumar, M Gharib
Bulletin of the American Physical Society, 2022
2022
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학술자료 1–20