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2003.07937
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Finite-time Identification of Stable Linear Systems: Optimality of the Least-Squares Estimator
IEEE Conference on Decision and Control (CDC), 2020
17 March 2020
Yassir Jedra
Alexandre Proutiere
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Papers citing
"Finite-time Identification of Stable Linear Systems: Optimality of the Least-Squares Estimator"
23 / 23 papers shown
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Joint Learning of Linear Dynamical Systems under Smoothness Constraints
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Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification
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Anders Rantzer
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516
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29 Dec 2023
Meta-Learning Operators to Optimality from Multi-Task Non-IID Data
International Conference on Learning Representations (ICLR), 2023
Thomas T. Zhang
Leonardo F. Toso
James Anderson
Nikolai Matni
291
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0
08 Aug 2023
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise
Neural Information Processing Systems (NeurIPS), 2023
Abdullah Alomar
M. Dahleh
Sean Mann
Devavrat Shah
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274
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25 May 2023
Exact Recovery for System Identification with More Corrupt Data than Clean Data
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Haixiang Zhang
Javad Lavaei
Murat Arcak
450
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17 May 2023
FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems
International Conference on Machine Learning (ICML), 2023
Matthieu Blanke
Marc Lelarge
261
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26 Apr 2023
Learning linear dynamical systems under convex constraints
Hemant Tyagi
D. Efimov
398
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27 Mar 2023
Multi-Task Imitation Learning for Linear Dynamical Systems
Conference on Learning for Dynamics & Control (L4DC), 2022
Thomas T. Zhang
Katie Kang
Bruce D. Lee
Claire Tomlin
Sergey Levine
Stephen Tu
Nikolai Matni
469
30
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01 Dec 2022
FedSysID: A Federated Approach to Sample-Efficient System Identification
Conference on Learning for Dynamics & Control (L4DC), 2022
Zheng Chen
Leonardo F. Toso
James Anderson
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315
24
0
25 Nov 2022
Statistical Learning Theory for Control: A Finite Sample Perspective
IEEE Control Systems (IEEE Control Syst. Mag.), 2022
Anastasios Tsiamis
Ingvar M. Ziemann
Nikolai Matni
George J. Pappas
575
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12 Sep 2022
Finite Sample Identification of Bilinear Dynamical Systems
IEEE Conference on Decision and Control (CDC), 2022
Yahya Sattar
Samet Oymak
N. Ozay
239
19
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29 Aug 2022
Distributed Online System Identification for LTI Systems Using Reverse Experience Replay
IEEE Conference on Decision and Control (CDC), 2022
Ting-Jui Chang
Shahin Shahrampour
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356
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03 Jul 2022
Learning with little mixing
Neural Information Processing Systems (NeurIPS), 2022
Ingvar M. Ziemann
Stephen Tu
441
34
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16 Jun 2022
Online greedy identification of linear dynamical systems
IEEE Conference on Decision and Control (CDC), 2022
Matthieu Blanke
Marc Lelarge
179
1
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13 Apr 2022
Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching
IEEE Control Systems Letters (L-CSS), 2022
Shengli Shi
Othmane Mazhar
B. de Schutter
286
11
0
18 Mar 2022
Single Trajectory Nonparametric Learning of Nonlinear Dynamics
Annual Conference Computational Learning Theory (COLT), 2022
Ingvar M. Ziemann
H. Sandberg
Nikolai Matni
320
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16 Feb 2022
Regret Lower Bounds for Learning Linear Quadratic Gaussian Systems
IEEE Transactions on Automatic Control (TAC), 2022
Ingvar M. Ziemann
H. Sandberg
419
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05 Jan 2022
Streaming Linear System Identification with Reverse Experience Replay
Neural Information Processing Systems (NeurIPS), 2021
Prateek Jain
S. Kowshik
Dheeraj M. Nagaraj
Praneeth Netrapalli
OffRL
385
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10 Mar 2021
On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix
Conference on Learning for Dynamics & Control (L4DC), 2020
Ingvar M. Ziemann
H. Sandberg
349
9
0
18 Nov 2020
Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimization Problem
IEEE Transactions on Automatic Control (TAC), 2020
Quan-Gen Zhou
Jakub Mareˇcek
567
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04 Feb 2020
A Finite-Sample Deviation Bound for Stable Autoregressive Processes
Conference on Learning for Dynamics & Control (L4DC), 2019
Rodrigo A. González
C. Rojas
185
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17 Dec 2019
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