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Joint Learning of Linear Time-Invariant Dynamical Systems

Joint Learning of Linear Time-Invariant Dynamical Systems

21 December 2021
Aditya Modi
Mohamad Kazem Shirani Faradonbeh
Ambuj Tewari
George Michailidis
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Papers citing "Joint Learning of Linear Time-Invariant Dynamical Systems"

16 / 16 papers shown
Title
Learning Dynamical Systems by Leveraging Data from Similar Systems
Learning Dynamical Systems by Leveraging Data from Similar Systems
Lei Xin
Lintao Ye
G. Chiu
S. Sundaram
41
10
0
20 Jan 2025
Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of
  Linear Systems
Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems
Maryann Rui
M. Dahleh
87
0
0
13 Dec 2024
Guarantees for Nonlinear Representation Learning: Non-identical
  Covariates, Dependent Data, Fewer Samples
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
Thomas T. Zhang
Bruce D. Lee
Ingvar M. Ziemann
George J. Pappas
Nikolai Matni
CML
OOD
46
0
0
15 Oct 2024
Learning Unstable Continuous-Time Stochastic Linear Control Systems
Learning Unstable Continuous-Time Stochastic Linear Control Systems
Reza Sadeghi Hafshejani
Mohamad Kazem Shirani Fradonbeh
41
0
0
17 Sep 2024
Combining Federated Learning and Control: A Survey
Combining Federated Learning and Control: A Survey
Jakob Weber
Markus Gurtner
A. Lobe
Adrian Trachte
Andreas Kugi
FedML
AI4CE
41
2
0
12 Jul 2024
Regret Analysis of Multi-task Representation Learning for
  Linear-Quadratic Adaptive Control
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
Bruce D. Lee
Leonardo F. Toso
Thomas T. Zhang
James Anderson
Nikolai Matni
42
2
0
08 Jul 2024
Joint Learning of Linear Dynamical Systems under Smoothness Constraints
Joint Learning of Linear Dynamical Systems under Smoothness Constraints
Hemant Tyagi
31
0
0
03 Jun 2024
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with
  Model Misspecification
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification
Bruce D. Lee
Anders Rantzer
Nikolai Matni
32
6
0
29 Dec 2023
Joint Problems in Learning Multiple Dynamical Systems
Joint Problems in Learning Multiple Dynamical Systems
Mengjia Niu
Xiaoyu He
Petr Rysavý
Quan-Gen Zhou
Jakub Marecek
37
3
0
03 Nov 2023
Meta-Learning Operators to Optimality from Multi-Task Non-IID Data
Meta-Learning Operators to Optimality from Multi-Task Non-IID Data
Thomas T. Zhang
Leonardo F. Toso
James Anderson
Nikolai Matni
67
13
0
08 Aug 2023
Transformers as Algorithms: Generalization and Stability in In-context
  Learning
Transformers as Algorithms: Generalization and Stability in In-context Learning
Yingcong Li
M. E. Ildiz
Dimitris Papailiopoulos
Samet Oymak
20
157
0
17 Jan 2023
Multi-Task Imitation Learning for Linear Dynamical Systems
Multi-Task Imitation Learning for Linear Dynamical Systems
Thomas T. Zhang
Katie Kang
Bruce D. Lee
Claire Tomlin
Sergey Levine
Stephen Tu
Nikolai Matni
41
23
0
01 Dec 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation
Nearly Minimax Algorithms for Linear Bandits with Shared Representation
Jiaqi Yang
Qi Lei
Jason D. Lee
S. Du
43
16
0
29 Mar 2022
Learning Mixtures of Linear Dynamical Systems
Learning Mixtures of Linear Dynamical Systems
Yanxi Chen
H. Vincent Poor
20
17
0
26 Jan 2022
Joint Learning-Based Stabilization of Multiple Unknown Linear Systems
Joint Learning-Based Stabilization of Multiple Unknown Linear Systems
Mohamad Kazem Shirani Faradonbeh
Aditya Modi
18
6
0
01 Jan 2022
Asymptotic theory of least squares estimators for nearly unstable
  processes under strong dependence
Asymptotic theory of least squares estimators for nearly unstable processes under strong dependence
B. Buchmann
N. Chan
85
48
0
22 Nov 2007
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