ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.05141
  4. Cited By
Online Learning of the Kalman Filter with Logarithmic Regret

Online Learning of the Kalman Filter with Logarithmic Regret

12 February 2020
Anastasios Tsiamis
George Pappas
ArXivPDFHTML

Papers citing "Online Learning of the Kalman Filter with Logarithmic Regret"

11 / 11 papers shown
Title
Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret
Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret
Jiachen Qian
Yang Zheng
KELM
43
0
0
13 May 2025
Online Linear Regression in Dynamic Environments via Discounting
Online Linear Regression in Dynamic Environments via Discounting
Andrew Jacobsen
Ashok Cutkosky
46
5
0
29 May 2024
Spectral Statistics of the Sample Covariance Matrix for High Dimensional
  Linear Gaussians
Spectral Statistics of the Sample Covariance Matrix for High Dimensional Linear Gaussians
Muhammad Naeem
Miroslav Pajic
18
0
0
10 Dec 2023
Learning and Concentration for High Dimensional Linear Gaussians: an
  Invariant Subspace Approach
Learning and Concentration for High Dimensional Linear Gaussians: an Invariant Subspace Approach
Muhammad Naeem
29
2
0
04 Apr 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
Kalman Filtering with Adversarial Corruptions
Kalman Filtering with Adversarial Corruptions
Sitan Chen
Frederic Koehler
Ankur Moitra
Morris Yau
AAML
27
10
0
11 Nov 2021
Online Learning for Unknown Partially Observable MDPs
Online Learning for Unknown Partially Observable MDPs
Mehdi Jafarnia-Jahromi
Rahul Jain
A. Nayyar
34
20
0
25 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
Fairness in Forecasting and Learning Linear Dynamical Systems
Fairness in Forecasting and Learning Linear Dynamical Systems
Quan-Gen Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
24
7
0
12 Jun 2020
Sample Complexity of Kalman Filtering for Unknown Systems
Sample Complexity of Kalman Filtering for Unknown Systems
Anastasios Tsiamis
Nikolai Matni
George J. Pappas
27
53
0
27 Dec 2019
Spectral Filtering for General Linear Dynamical Systems
Spectral Filtering for General Linear Dynamical Systems
Elad Hazan
Holden Lee
Karan Singh
Cyril Zhang
Yi Zhang
45
97
0
12 Feb 2018
1