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Near-optimal Offline and Streaming Algorithms for Learning Non-Linear
  Dynamical Systems
v1v2v3 (latest)

Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems

24 May 2021
Prateek Jain
S. Kowshik
Dheeraj M. Nagaraj
Praneeth Netrapalli
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems"

16 / 16 papers shown
Title
Learning Linear Dynamics from Bilinear Observations
Learning Linear Dynamics from Bilinear Observations
Yahya Sattar
Yassir Jedra
Sarah Dean
71
1
0
24 Sep 2024
Efficient Continual Finite-Sum Minimization
Efficient Continual Finite-Sum Minimization
Ioannis Mavrothalassitis
Stratis Skoulakis
L. Dadi
Volkan Cevher
80
0
0
07 Jun 2024
Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method
Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method
Charis J. Stamouli
Ingvar M. Ziemann
George J. Pappas
60
0
0
11 Apr 2024
The Complexity of Sequential Prediction in Dynamical Systems
The Complexity of Sequential Prediction in Dynamical Systems
Vinod Raman
Unique Subedi
Ambuj Tewari
51
1
0
09 Feb 2024
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
Ingvar M. Ziemann
Stephen Tu
George J. Pappas
Nikolai Matni
124
9
0
08 Feb 2024
Regret Analysis of Distributed Online Control for LTI Systems with
  Adversarial Disturbances
Regret Analysis of Distributed Online Control for LTI Systems with Adversarial Disturbances
Ting-Jui Chang
Shahin Shahrampour
75
0
0
04 Oct 2023
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
198
28
0
07 Sep 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
136
13
0
08 Aug 2023
The noise level in linear regression with dependent data
The noise level in linear regression with dependent data
Ingvar M. Ziemann
Stephen Tu
George J. Pappas
Nikolai Matni
69
5
0
18 May 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
236
78
0
12 Sep 2022
Finite Sample Identification of Bilinear Dynamical Systems
Finite Sample Identification of Bilinear Dynamical Systems
Yahya Sattar
Samet Oymak
N. Ozay
54
14
0
29 Aug 2022
Distributed Online System Identification for LTI Systems Using Reverse
  Experience Replay
Distributed Online System Identification for LTI Systems Using Reverse Experience Replay
Ting-Jui Chang
Shahin Shahrampour
OffRL
86
3
0
03 Jul 2022
Learning with little mixing
Learning with little mixing
Ingvar M. Ziemann
Stephen Tu
113
30
0
16 Jun 2022
Single Trajectory Nonparametric Learning of Nonlinear Dynamics
Single Trajectory Nonparametric Learning of Nonlinear Dynamics
Ingvar M. Ziemann
H. Sandberg
Nikolai Matni
71
25
0
16 Feb 2022
Online Target Q-learning with Reverse Experience Replay: Efficiently
  finding the Optimal Policy for Linear MDPs
Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs
Naman Agarwal
Syomantak Chaudhuri
Prateek Jain
Dheeraj M. Nagaraj
Praneeth Netrapalli
OffRL
109
21
0
16 Oct 2021
Streaming Linear System Identification with Reverse Experience Replay
Streaming Linear System Identification with Reverse Experience Replay
Prateek Jain
S. Kowshik
Dheeraj M. Nagaraj
Praneeth Netrapalli
OffRL
96
19
0
10 Mar 2021
1