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2002.02064
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No-Regret Prediction in Marginally Stable Systems
Annual Conference Computational Learning Theory (COLT), 2020
6 February 2020
Udaya Ghai
Holden Lee
Karan Singh
Cyril Zhang
Yi Zhang
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Papers citing
"No-Regret Prediction in Marginally Stable Systems"
16 / 16 papers shown
Universal Learning of Nonlinear Dynamics
Evan Dogariu
Anand Brahmbhatt
Elad Hazan
142
2
0
16 Aug 2025
Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret
Jiachen Qian
Yang Zheng
KELM
268
3
0
13 May 2025
Online Linear Regression in Dynamic Environments via Discounting
Andrew Jacobsen
Ashok Cutkosky
353
11
0
29 May 2024
Predictive Linear Online Tracking for Unknown Targets
Anastasios Tsiamis
Aren Karapetyan
Yueshan Li
Efe C. Balta
John Lygeros
511
11
0
15 Feb 2024
The Complexity of Sequential Prediction in Dynamical Systems
Vinod Raman
Unique Subedi
Ambuj Tewari
302
1
0
09 Feb 2024
Spectral State Space Models
Naman Agarwal
Daniel Suo
Xinyi Chen
Elad Hazan
513
20
0
11 Dec 2023
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
International Conference on Learning Representations (ICLR), 2023
Adam Block
Dylan J. Foster
Akshay Krishnamurthy
Max Simchowitz
Cyril Zhang
286
11
0
17 Oct 2023
A New Approach to Learning Linear Dynamical Systems
Symposium on the Theory of Computing (STOC), 2023
Ainesh Bakshi
Allen Liu
Ankur Moitra
Morris Yau
257
26
0
23 Jan 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
543
93
0
12 Sep 2022
Learning from Censored and Dependent Data: The case of Linear Dynamics
Annual Conference Computational Learning Theory (COLT), 2021
Orestis Plevrakis
255
11
0
11 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
357
23
0
10 Mar 2021
Improved rates for prediction and identification of partially observed linear dynamical systems
International Conference on Algorithmic Learning Theory (ALT), 2020
Holden Lee
495
11
0
19 Nov 2020
SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory
Paria Rashidinejad
Jiantao Jiao
Stuart J. Russell
225
13
0
12 Oct 2020
Black-Box Control for Linear Dynamical Systems
Annual Conference Computational Learning Theory (COLT), 2020
Xinyi Chen
Elad Hazan
291
87
0
13 Jul 2020
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
Neural Information Processing Systems (NeurIPS), 2020
Sahin Lale
Kamyar Azizzadenesheli
B. Hassibi
Anima Anandkumar
398
102
0
25 Mar 2020
Online Learning of the Kalman Filter with Logarithmic Regret
IEEE Transactions on Automatic Control (TAC), 2020
Anastasios Tsiamis
George Pappas
262
44
0
12 Feb 2020
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