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2002.05141
Cited By
Online Learning of the Kalman Filter with Logarithmic Regret
IEEE Transactions on Automatic Control (TAC), 2020
12 February 2020
Anastasios Tsiamis
George Pappas
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Papers citing
"Online Learning of the Kalman Filter with Logarithmic Regret"
17 / 17 papers shown
Logarithmic Regret and Polynomial Scaling in Online Multi-step-ahead Prediction
Jiachen Qian
Yang Zheng
120
1
0
16 Nov 2025
Differentiable Adaptive Kalman Filtering via Optimal Transport
Yangguang He
Wenhao Li
Minzhe Li
Juan Zhang
Xiangfeng Wang
Bo Jin
131
0
0
09 Aug 2025
Online Linear Regression in Dynamic Environments via Discounting
Andrew Jacobsen
Ashok Cutkosky
378
13
0
29 May 2024
The Complexity of Sequential Prediction in Dynamical Systems
Vinod Raman
Unique Subedi
Ambuj Tewari
361
1
0
09 Feb 2024
Spectral Statistics of the Sample Covariance Matrix for High Dimensional Linear Gaussians
Muhammad Naeem
Miroslav Pajic
214
0
0
10 Dec 2023
From Spectral Theorem to Statistical Independence with Application to System Identification
Muhammad Naeem
Amir Khazraei
Miroslav Pajic
201
3
0
16 Oct 2023
Can Transformers Learn Optimal Filtering for Unknown Systems?
IEEE Control Systems Letters (L-CSS), 2023
Haldun Balim
Zhe Du
Samet Oymak
N. Ozay
288
18
0
16 Aug 2023
Learning and Concentration for High Dimensional Linear Gaussians: an Invariant Subspace Approach
Muhammad Naeem
197
2
0
04 Apr 2023
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
97
0
12 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems
Journal of Artificial Intelligence Research (JAIR), 2022
Quan Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
534
7
0
12 Sep 2022
Kalman Filtering with Adversarial Corruptions
Symposium on the Theory of Computing (STOC), 2021
Sitan Chen
Frederic Koehler
Ankur Moitra
Morris Yau
AAML
209
10
0
11 Nov 2021
Linear Systems can be Hard to Learn
IEEE Conference on Decision and Control (CDC), 2021
Anastasios Tsiamis
George J. Pappas
216
48
0
02 Apr 2021
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
24
0
10 Mar 2021
Online Learning for Unknown Partially Observable MDPs
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Mehdi Jafarnia-Jahromi
Rahul Jain
A. Nayyar
329
24
0
25 Feb 2021
Improved rates for prediction and identification of partially observed linear dynamical systems
International Conference on Algorithmic Learning Theory (ALT), 2020
Holden Lee
575
11
0
19 Nov 2020
Exact Asymptotics for Linear Quadratic Adaptive Control
Journal of machine learning research (JMLR), 2020
Feicheng Wang
Lucas Janson
268
17
0
02 Nov 2020
Fairness in Forecasting and Learning Linear Dynamical Systems
AAAI Conference on Artificial Intelligence (AAAI), 2020
Quan-Gen Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
341
7
0
12 Jun 2020
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