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Active Learning for Identification of Linear Dynamical Systems

Active Learning for Identification of Linear Dynamical Systems

2 February 2020
Andrew Wagenmaker
Kevin G. Jamieson
ArXivPDFHTML

Papers citing "Active Learning for Identification of Linear Dynamical Systems"

15 / 15 papers shown
Title
Optimal Bayesian Affine Estimator and Active Learning for the Wiener Model
Optimal Bayesian Affine Estimator and Active Learning for the Wiener Model
Sasan Vakili
Manuel Mazo Jr.
Peyman Mohajerin Esfahani
28
0
0
07 Apr 2025
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
Active learning of neural population dynamics using two-photon holographic optogenetics
Active learning of neural population dynamics using two-photon holographic optogenetics
Andrew Wagenmaker
Lu Mi
Marton Rozsa
Matthew S. Bull
Karel Svoboda
Kayvon Daie
Matthew D. Golub
Kevin Jamieson
82
0
0
03 Dec 2024
Learning Linear Dynamics from Bilinear Observations
Learning Linear Dynamics from Bilinear Observations
Yahya Sattar
Yassir Jedra
Sarah Dean
34
1
0
24 Sep 2024
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
Nan Jiang
Md Nasim
Yexiang Xue
42
0
0
02 Sep 2024
Finite Sample Frequency Domain Identification
Finite Sample Frequency Domain Identification
Anastasios Tsiamis
M. Abdalmoaty
Roy S. Smith
John Lygeros
39
0
0
01 Apr 2024
A Tutorial on the Non-Asymptotic Theory of System Identification
A Tutorial on the Non-Asymptotic Theory of System Identification
Ingvar M. Ziemann
Anastasios Tsiamis
Bruce D. Lee
Yassir Jedra
Nikolai Matni
George J. Pappas
30
25
0
07 Sep 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems
Optimal Exploration for Model-Based RL in Nonlinear Systems
Andrew Wagenmaker
Guanya Shi
Kevin G. Jamieson
38
14
0
15 Jun 2023
Statistical Learning Theory for Control: A Finite Sample Perspective
Statistical Learning Theory for Control: A Finite Sample Perspective
Anastasios Tsiamis
Ingvar M. Ziemann
Nikolai Matni
George J. Pappas
28
73
0
12 Sep 2022
Finite Sample Identification of Bilinear Dynamical Systems
Finite Sample Identification of Bilinear Dynamical Systems
Yahya Sattar
Samet Oymak
N. Ozay
32
13
0
29 Aug 2022
Learning to Control Linear Systems can be Hard
Learning to Control Linear Systems can be Hard
Anastasios Tsiamis
Ingvar M. Ziemann
M. Morari
Nikolai Matni
George J. Pappas
24
14
0
27 May 2022
Task-Optimal Exploration in Linear Dynamical Systems
Task-Optimal Exploration in Linear Dynamical Systems
Andrew Wagenmaker
Max Simchowitz
Kevin G. Jamieson
27
18
0
10 Feb 2021
Improved rates for prediction and identification of partially observed
  linear dynamical systems
Improved rates for prediction and identification of partially observed linear dynamical systems
Holden Lee
21
10
0
19 Nov 2020
Active Learning for Nonlinear System Identification with Guarantees
Active Learning for Nonlinear System Identification with Guarantees
Horia Mania
Michael I. Jordan
Benjamin Recht
41
101
0
18 Jun 2020
Spectral Filtering for General Linear Dynamical Systems
Spectral Filtering for General Linear Dynamical Systems
Elad Hazan
Holden Lee
Karan Singh
Cyril Zhang
Yi Zhang
47
97
0
12 Feb 2018
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