Improved rates for prediction and identification of partially observed linear dynamical systems

19 November 2020

Papers citing "Improved rates for prediction and identification of partially observed linear dynamical systems"

10 / 10 papers shown

Title
Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Jiachen Qian Yang Zheng KELM 38 0 0 13 May 2025
Nonconvex Linear System Identification with Minimal State Representation Uday Kiran Reddy Tadipatri B. Haeffele Joshua Agterberg Ingvar Ziemann René Vidal 33 0 0 26 Apr 2025
Learning Linear Dynamics from Bilinear Observations Yahya Sattar Yassir Jedra Sarah Dean 26 1 0 24 Sep 2024
Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds Yuyang Zhang Shahriar Talebi Na Li 39 1 0 09 May 2024
The Complexity of Sequential Prediction in Dynamical Systems Vinod Raman Unique Subedi Ambuj Tewari 14 1 0 09 Feb 2024
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
Statistical Learning Theory for Control: A Finite Sample Perspective Anastasios Tsiamis Ingvar M. Ziemann Nikolai Matni George J. Pappas 23 73 0 12 Sep 2022
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 Elad Hazan Holden Lee Karan Singh Cyril Zhang Yi Zhang 45 97 0 12 Feb 2018
Learning without Concentration S. Mendelson 85 334 0 01 Jan 2014